{"meta":{"query_hash":"7f76e1c9fcd2","filters":{"venue":"Synthesis lectures on artificial intelligence and machine learning"},"cohort_total":12,"direct_labels_cover":0,"predictions_cover":12,"exported":12,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/7f76e1c9fcd2","api":"https://metacan.xera.ac/api/v1/cohort?venue=Synthesis+lectures+on+artificial+intelligence+and+machine+learning"},"results":[{"id":"W2073384958","doi":"10.1007/978-3-031-01551-9","title":"Algorithms for Reinforcement Learning","year":2010,"lang":"en","type":"book","venue":"Synthesis lectures on artificial intelligence and machine learning","topic":"Advanced Bandit Algorithms Research","field":"Decision Sciences","cited_by":750,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Reinforcement learning; Computer science; Artificial intelligence; Machine learning; Learning classifier system; Hyper-heuristic; Instance-based learning; Active learning (machine learning); Term (time); Unsupervised learning; Core (optical fiber); Robot learning; Robot","score_opus":0.16040752224704838,"score_gpt":0.4127314576545998,"score_spread":0.2523239354075514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073384958","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000056800247,0.0008677423,0.93645436,0.0013639875,0.0010746168,0.0016084808,0.000050461655,0.00028059562,0.058242936],"genre_scores_gemma":[0.06788354,0.0009999631,0.006355473,0.00051086926,0.0030230165,0.000502524,0.00018839813,0.00037128708,0.92016494],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9931322,0.0004202843,0.0014421986,0.0016754905,0.0023528596,0.0009770135],"domain_scores_gemma":[0.9839671,0.013485292,0.00083958806,0.00073745294,0.00062792207,0.0003426232],"candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0045559565,0.0007870023,0.0011268811,0.0012185299,0.0014575138,0.0008893858,0.0012129018,0.0008103002,0.0027286694],"category_scores_gemma":[0.030274484,0.0006092855,0.00047400343,0.00038852825,0.00048700068,0.0002215203,0.00036760655,0.0041519436,0.00089339574],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026351947,0.0000316598,0.0000056936296,0.000033649896,0.00006838303,0.000016127433,0.00036730725,0.11568932,0.00021844053,0.0034853483,0.0012453414,0.8785752],"study_design_scores_gemma":[0.000052060368,0.0007606797,0.000004463859,0.00016256518,0.00006149846,0.000014384536,0.00021042276,0.19510624,0.016138155,0.16027792,0.6264191,0.0007924819],"about_ca_topic_score_codex":0.00005377089,"about_ca_topic_score_gemma":0.00020532247,"teacher_disagreement_score":0.9300989,"about_ca_system_score_codex":0.000172805,"about_ca_system_score_gemma":0.00034467276,"threshold_uncertainty_score":0.99988455},"labels":[],"label_agreement":null},{"id":"W2111589951","doi":"10.2200/s00108ed1v01y200802aim003","title":"Essentials of Game Theory: A Concise Multidisciplinary Introduction","year":2008,"lang":"en","type":"article","venue":"Synthesis lectures on artificial intelligence and machine learning","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":381,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Game theory; Field (mathematics); Multidisciplinary approach; Computer science; Notation; Data science; Epistemology; Management science; Sociology; Social science; Mathematical economics; Mathematics; Engineering","score_opus":0.12535343132650154,"score_gpt":0.36958904537933407,"score_spread":0.24423561405283253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111589951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87204057,0.0002593399,0.122753516,0.002615804,0.00018591783,0.00026762814,0.0000122553,0.00008352003,0.0017814579],"genre_scores_gemma":[0.99873656,0.00010486456,0.00031980028,0.00005874716,0.0002369131,0.000027006909,0.0000032906275,0.000015425188,0.00049738376],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99730504,0.0007637698,0.00065814727,0.0005328646,0.0005145208,0.0002256577],"domain_scores_gemma":[0.99517745,0.0038295418,0.0003327509,0.0004075639,0.00016154369,0.0000911272],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0025113167,0.00018765354,0.00037199288,0.0003055862,0.00049853296,0.00006178091,0.00035387964,0.00008768167,0.0012442537],"category_scores_gemma":[0.0080735115,0.00013698034,0.0001286514,0.00053361413,0.0005299609,0.00013055047,0.00009772011,0.00032227868,0.0002864331],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086922734,0.00031745274,0.0010618101,0.000012993376,0.000051268213,0.000010512568,0.005530635,0.033793777,0.071001396,0.22859338,0.00016682483,0.65859073],"study_design_scores_gemma":[0.00002911664,0.00020088252,0.0011536761,0.000024190196,0.000034118893,0.000037661226,0.0015362767,0.007816319,0.5940843,0.39200947,0.0028361736,0.00023778352],"about_ca_topic_score_codex":0.000030856016,"about_ca_topic_score_gemma":0.00002036685,"teacher_disagreement_score":0.6583529,"about_ca_system_score_codex":0.000011750503,"about_ca_system_score_gemma":0.0000323911,"threshold_uncertainty_score":0.9996687},"labels":[],"label_agreement":null},{"id":"W4281383770","doi":"10.2200/s01170ed1v01y202202aim052","title":"Applying Reinforcement Learning on Real-World Data with Practical Examples in Python","year":2022,"lang":"en","type":"article","venue":"Synthesis lectures on artificial intelligence and machine learning","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ambrose University; Canadian Institute for Advanced Research","funders":"University of Manchester; University of Oxford","keywords":"Python (programming language); Computer science; Reinforcement learning; Real world data; Artificial intelligence; Data science; Machine learning; Programming language","score_opus":0.11233713780004682,"score_gpt":0.3250342094362956,"score_spread":0.21269707163624874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281383770","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39530444,0.0006372556,0.5185876,0.004724464,0.0010552964,0.0040791016,0.000012459759,0.0038583188,0.07174106],"genre_scores_gemma":[0.99840325,0.00013018675,0.0007238548,0.0001635601,0.0000912448,0.00017594664,0.000058616348,0.00007404305,0.00017928523],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978069,0.00040057508,0.00040600245,0.0005212055,0.00044592228,0.00041940337],"domain_scores_gemma":[0.9982771,0.0011597602,0.00012379294,0.0003353046,0.000015653777,0.00008838759],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009461107,0.00028613867,0.0003100854,0.00051150075,0.00064135226,0.00014257093,0.00024145845,0.00004164589,0.0006270376],"category_scores_gemma":[0.000619547,0.0002649128,0.00003409875,0.00055237266,0.000056703553,0.00016003873,0.00016799496,0.0017485459,0.000042028703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022754302,0.0000325032,0.001904497,0.000023026745,0.000025540738,0.0000313896,0.00054901635,0.85690457,0.0004126848,0.0033486085,0.000027157004,0.13651344],"study_design_scores_gemma":[0.00004937124,0.00035008535,0.0009423538,0.0000857472,0.00002299505,0.000012544442,0.0013361088,0.9718793,0.0026592207,0.00016531796,0.022109484,0.00038746875],"about_ca_topic_score_codex":0.0006454182,"about_ca_topic_score_gemma":0.0014627211,"teacher_disagreement_score":0.6030988,"about_ca_system_score_codex":0.0001258073,"about_ca_system_score_gemma":0.000026710804,"threshold_uncertainty_score":0.99998033},"labels":[],"label_agreement":null},{"id":"W4285167430","doi":"10.1007/978-3-031-79167-3_5","title":"Industry Applications","year":2022,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on artificial intelligence and machine learning","topic":"Economic and Technological Innovation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Canadian Institute for Advanced Research","funders":"","keywords":"Computer science; Reading (process); Core (optical fiber); Current (fluid); Reinforcement learning; Management science; Cognitive science; Engineering; Artificial intelligence; Psychology; Linguistics; Electrical engineering; Philosophy; Telecommunications","score_opus":0.09146198534842626,"score_gpt":0.25392181651188905,"score_spread":0.1624598311634628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285167430","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00042630857,0.0018676321,0.011497941,0.0023387796,0.00016787699,0.00042052104,0.00015958368,0.00023210114,0.98288924],"genre_scores_gemma":[0.9250402,0.0010734634,0.0002648713,0.0010059878,0.00029147076,0.00024084974,0.00009205428,0.000097697,0.071893424],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984014,0.000012908275,0.0006765426,0.0006402521,0.000046987425,0.0002219276],"domain_scores_gemma":[0.9988785,0.0002480684,0.0005187626,0.00028064748,0.000018111768,0.000055907967],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003873814,0.00028976903,0.00046430383,0.000443632,0.00043100733,0.00008674886,0.0002571595,0.00082337664,0.019736607],"category_scores_gemma":[0.00023312031,0.00032203857,0.00011995599,0.000091287315,0.00013175118,0.000062333645,0.00012354495,0.0029028244,0.0010619223],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000109922485,0.000019181029,0.00008488478,0.000011311106,0.000039340674,0.0000020738082,0.000024484387,0.00055984233,0.0000042327288,0.83171844,0.000055491695,0.16746973],"study_design_scores_gemma":[0.000006626561,0.00006563429,0.000015128258,0.000014384914,0.000008603994,0.0000025597237,0.000018276092,0.00062348717,0.00026333315,0.5489389,0.44978586,0.00025726252],"about_ca_topic_score_codex":0.000085265114,"about_ca_topic_score_gemma":0.000022324015,"teacher_disagreement_score":0.9246139,"about_ca_system_score_codex":0.00009963912,"about_ca_system_score_gemma":0.0000134772035,"threshold_uncertainty_score":0.99992317},"labels":[],"label_agreement":null},{"id":"W4285255083","doi":"10.1007/978-3-031-79167-3_2","title":"Reinforcement Learning Theory","year":2022,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on artificial intelligence and machine learning","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Canadian Institute for Advanced Research","funders":"","keywords":"Reinforcement learning; Reinforcement; Computer science; Plan (archaeology); Context (archaeology); Cognitive science; Artificial intelligence; Psychology; Social psychology; History","score_opus":0.04072940189197726,"score_gpt":0.2609339799200801,"score_spread":0.22020457802810284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285255083","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000051342267,0.0004871864,0.62111557,0.0004927206,0.00038549554,0.00031432544,0.0000014104138,0.00042628762,0.37677187],"genre_scores_gemma":[0.4125758,0.004721509,0.0031884767,0.0017863638,0.0006417387,0.0001477763,0.00009831593,0.00036529,0.5764747],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99586546,0.00040990883,0.000872353,0.0011399644,0.0010373528,0.0006749509],"domain_scores_gemma":[0.9962017,0.002061094,0.00070034154,0.0007480432,0.00008757147,0.00020127483],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014856984,0.00079339667,0.0006986815,0.00066426233,0.001419708,0.00048440724,0.0012255663,0.0003317415,0.0057749324],"category_scores_gemma":[0.0013112616,0.00076104654,0.0003066263,0.00015723,0.00019572605,0.00025715327,0.00092943927,0.0034257295,0.00056272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004011289,0.000006761147,0.0000027082865,0.000022935088,0.000070719776,0.000025977732,0.0003789987,0.44320533,0.00001855186,0.39147916,0.000031444855,0.16471732],"study_design_scores_gemma":[0.000039558116,0.0010996555,0.0000031152958,0.00028225788,0.00012339563,0.0000374629,0.00010413577,0.3952208,0.0021355392,0.07133807,0.5282778,0.0013382375],"about_ca_topic_score_codex":0.000044900724,"about_ca_topic_score_gemma":0.000009729972,"teacher_disagreement_score":0.6179271,"about_ca_system_score_codex":0.00019757164,"about_ca_system_score_gemma":0.000111386464,"threshold_uncertainty_score":0.9998803},"labels":[],"label_agreement":null},{"id":"W4285717378","doi":"10.1007/978-3-031-01588-5_10","title":"Conclusion","year":2020,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on artificial intelligence and machine learning","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; McGill University","funders":"","keywords":"Representation (politics); Graph; Computer science; Foundation (evidence); Epistemology; Geography; Political science; Theoretical computer science; Philosophy; Archaeology; Law","score_opus":0.043852146319204574,"score_gpt":0.2636903396629812,"score_spread":0.21983819334377663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285717378","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000026111036,0.0024396137,0.8053685,0.006614918,0.0006743596,0.0005192418,0.000011175131,0.0008582068,0.1834879],"genre_scores_gemma":[0.9378743,0.00426223,0.012464561,0.0074647283,0.0015021677,0.000048681017,0.00003747902,0.00031176992,0.036034077],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99769527,0.000093097064,0.00045643302,0.0009908694,0.00041403016,0.00035028355],"domain_scores_gemma":[0.99807274,0.00094947807,0.00029816863,0.00042041912,0.00005693961,0.00020223761],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018830305,0.0005369066,0.0005311699,0.00023082006,0.0004844659,0.00021962872,0.0007275397,0.0003172909,0.00024008009],"category_scores_gemma":[0.0004002746,0.00047051557,0.00019536518,0.00011677734,0.00015389339,0.00015005605,0.00047821662,0.0015715951,0.00035424618],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035942478,0.0000067042297,0.0000013360642,0.000015040384,0.00002543296,0.000056796376,0.00013435296,0.004840274,0.00020481984,0.41836485,0.00008244484,0.576232],"study_design_scores_gemma":[0.000024822431,0.000599859,0.0000041450644,0.00045967867,0.00006370648,0.000039328785,0.000014456753,0.14778851,0.019955808,0.65890026,0.17092897,0.0012204631],"about_ca_topic_score_codex":0.000012541171,"about_ca_topic_score_gemma":0.00003286314,"teacher_disagreement_score":0.9378482,"about_ca_system_score_codex":0.00003617,"about_ca_system_score_gemma":0.000034158802,"threshold_uncertainty_score":0.99977463},"labels":[],"label_agreement":null},{"id":"W4293118172","doi":"10.1007/978-3-031-01588-5_2","title":"Background and Traditional Approaches","year":2020,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on artificial intelligence and machine learning","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; McGill University","funders":"","keywords":"Computer science; Deep learning; Artificial intelligence; Key (lock); Representation (politics); Graph; Data science; Theoretical computer science","score_opus":0.17223109992347463,"score_gpt":0.2675761701073073,"score_spread":0.09534507018383265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293118172","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017869046,0.0045889644,0.83904076,0.008338061,0.00051098224,0.00065927504,0.000034713277,0.00064754457,0.146001],"genre_scores_gemma":[0.9724142,0.0020028327,0.013992096,0.0022635297,0.0010633139,0.000049370257,0.00004748544,0.00016359858,0.008003575],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99791735,0.00008521293,0.0003779284,0.00096932595,0.00035413596,0.0002960146],"domain_scores_gemma":[0.9982126,0.0010808082,0.00021636154,0.0002683162,0.000027676633,0.0001942593],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018723964,0.00049131014,0.0004633434,0.00020339203,0.0004102264,0.00030519557,0.0004289479,0.00027015834,0.0001249869],"category_scores_gemma":[0.00015138157,0.00044056392,0.0001324126,0.00008894655,0.00025031748,0.0001996786,0.00019932556,0.0013311297,0.00007214041],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027942642,0.000009639025,0.000002000919,0.000021258222,0.000034884375,0.000023836714,0.000103143524,0.0024517905,0.000028270746,0.5883944,0.00003656003,0.4088663],"study_design_scores_gemma":[0.000024661666,0.0004168971,0.000025610541,0.00023426073,0.00006086082,0.00007473196,0.000030850264,0.13706413,0.0024648607,0.8332179,0.025465403,0.00091979286],"about_ca_topic_score_codex":0.0000067458936,"about_ca_topic_score_gemma":0.000025234938,"teacher_disagreement_score":0.9722355,"about_ca_system_score_codex":0.000025249701,"about_ca_system_score_gemma":0.000028194272,"threshold_uncertainty_score":0.9998046},"labels":[],"label_agreement":null},{"id":"W4293118218","doi":"10.1007/978-3-031-01588-5_5","title":"The Graph Neural Network Model","year":2020,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on artificial intelligence and machine learning","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; McGill University","funders":"","keywords":"Computer science; Embedding; Theoretical computer science; Graph; Graph embedding; Formalism (music); Artificial neural network; Encoder; Artificial intelligence","score_opus":0.049115176673314796,"score_gpt":0.25899285095070285,"score_spread":0.20987767427738804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293118218","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00002646142,0.003390841,0.88075244,0.022386478,0.00041926585,0.00063872326,0.000010190882,0.0005469797,0.09182862],"genre_scores_gemma":[0.9375266,0.006575132,0.005794739,0.007158905,0.0024428,0.00017871053,0.000023985724,0.00022866836,0.040070467],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99811786,0.00007280587,0.00040917486,0.00070334406,0.0003052308,0.00039159658],"domain_scores_gemma":[0.99804914,0.0010440699,0.0002425434,0.00046760854,0.000045339075,0.00015127029],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025622116,0.00040676125,0.00033108084,0.00006484367,0.0012994346,0.00050555175,0.0009114241,0.00017677457,0.000032757976],"category_scores_gemma":[0.00011286182,0.0002822752,0.00019990922,0.00012433773,0.00016689788,0.00008122809,0.00028304628,0.0012596084,0.00010393732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012616028,0.000003053189,3.8185345e-7,0.0000028352188,0.000017593444,0.0000038045448,0.00003481363,0.22477047,0.000020516141,0.45055398,0.0003995797,0.32418033],"study_design_scores_gemma":[0.0000039421693,0.00005846442,7.591938e-7,0.000038322356,0.000020788313,0.000004149218,0.0000023086316,0.6049354,0.00033695847,0.35378093,0.040582597,0.00023538957],"about_ca_topic_score_codex":0.000012530976,"about_ca_topic_score_gemma":0.00008458581,"teacher_disagreement_score":0.9375001,"about_ca_system_score_codex":0.000015808308,"about_ca_system_score_gemma":0.00003235425,"threshold_uncertainty_score":0.9999629},"labels":[],"label_agreement":null},{"id":"W4293118255","doi":"10.1007/978-3-031-01588-5_9","title":"Deep Generative Models","year":2020,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on artificial intelligence and machine learning","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Generative grammar; Computer science; Graph; Theoretical computer science; Key (lock); Artificial intelligence; Generative model; Process (computing); Data science; Programming language","score_opus":0.20662184974014658,"score_gpt":0.3742896252103348,"score_spread":0.16766777547018824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293118255","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00002277327,0.0005552812,0.6612747,0.003695901,0.00008572343,0.0004033062,0.000027188878,0.00021592756,0.33371925],"genre_scores_gemma":[0.93929166,0.0005969138,0.0037162267,0.0020684453,0.0005524944,0.00007250356,0.000032322172,0.000111854766,0.05355757],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970149,0.00013223093,0.0008198236,0.0009613443,0.0008495649,0.00022218481],"domain_scores_gemma":[0.99632365,0.0024367427,0.0004249834,0.00043533754,0.00020673804,0.0001725387],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006732211,0.00041719532,0.0005651963,0.00035992952,0.0005333137,0.00040063474,0.00051618816,0.00031187164,0.002759636],"category_scores_gemma":[0.0017511896,0.00032225167,0.00023495281,0.00015375706,0.00017314816,0.00011259019,0.00014862408,0.0009062474,0.00088426366],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003172749,0.000008709254,0.0000015630619,0.0000025721022,0.000020333022,0.0000037203483,0.00025024763,0.06161277,0.00007875471,0.46161678,0.00021022733,0.4761626],"study_design_scores_gemma":[0.0000052550267,0.00007886712,0.0000011270461,0.00002935609,0.0000267952,0.00000216518,0.000053184103,0.28859976,0.0052580233,0.6468727,0.05880859,0.00026414858],"about_ca_topic_score_codex":0.000028305038,"about_ca_topic_score_gemma":0.00008054517,"teacher_disagreement_score":0.9392689,"about_ca_system_score_codex":0.000035517907,"about_ca_system_score_gemma":0.000042804953,"threshold_uncertainty_score":0.99992293},"labels":[],"label_agreement":null},{"id":"W4293118256","doi":"10.1007/978-3-031-01588-5_4","title":"Multi-Relational Data and Knowledge Graphs","year":2020,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on artificial intelligence and machine learning","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; McGill University","funders":"","keywords":"Embedding; Computer science; Focus (optics); Knowledge graph; Theoretical computer science; Relational database; Statistical relational learning; Node (physics); Artificial intelligence; Data science; Data mining; Engineering; Physics","score_opus":0.10949688771132361,"score_gpt":0.3035231000219495,"score_spread":0.1940262123106259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293118256","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000039901533,0.011174341,0.9632114,0.0025736382,0.00050440815,0.0004936819,0.00006687568,0.00048751355,0.021448242],"genre_scores_gemma":[0.85236853,0.01224353,0.10738491,0.0029005199,0.0013138669,0.000055904555,0.00033394908,0.00039372678,0.023005076],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99760205,0.00010908144,0.00044191937,0.0012721274,0.00027771192,0.00029713995],"domain_scores_gemma":[0.99762213,0.0012407299,0.0002514173,0.0006349907,0.00005638015,0.00019437086],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002780197,0.00049322506,0.0004546808,0.00027493166,0.0004584744,0.00020785346,0.00091672817,0.000278144,0.00008146792],"category_scores_gemma":[0.0005347317,0.00044310698,0.00009223818,0.00013184249,0.00023153465,0.00027253552,0.00091973506,0.0013924825,0.00011916292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029069217,0.000017301094,0.00001416499,0.000024447894,0.00005407119,0.000022222424,0.00022498451,0.0020044977,0.00008336402,0.45569494,0.00008813121,0.5417428],"study_design_scores_gemma":[0.000032081614,0.00018316426,0.000041634103,0.00027953018,0.00006770074,0.00002886121,0.000012253771,0.72012794,0.000757907,0.21709694,0.06058729,0.0007846994],"about_ca_topic_score_codex":0.00001170606,"about_ca_topic_score_gemma":0.00013316868,"teacher_disagreement_score":0.8558265,"about_ca_system_score_codex":0.000017410825,"about_ca_system_score_gemma":0.00004780817,"threshold_uncertainty_score":0.99980205},"labels":[],"label_agreement":null},{"id":"W4301265035","doi":"10.1007/978-3-031-01545-8_4","title":"Games With Sequential Actions: The Perfect-Information Extensive Form","year":2008,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on artificial intelligence and machine learning","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Representation (politics); Extensive-form game; Mathematical economics; Computer science; Game theory; Repeated game; Nash equilibrium; Mathematics","score_opus":0.049895550001574356,"score_gpt":0.2606962291599081,"score_spread":0.21080067915833373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301265035","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005115104,0.0015276194,0.9112393,0.003980818,0.0007705553,0.0012336373,0.00001925647,0.0006567984,0.08006046],"genre_scores_gemma":[0.96979284,0.006143116,0.008755031,0.0025341571,0.0012260361,0.00018903038,0.00005591813,0.0001524656,0.011151407],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977111,0.0001334595,0.00051704206,0.0006381106,0.0006004322,0.00039982225],"domain_scores_gemma":[0.9974164,0.001189667,0.00040781937,0.0006250764,0.0002536486,0.00010740766],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041912502,0.00053939223,0.0004592007,0.00033119827,0.0010446163,0.0005123944,0.00069925777,0.00025040525,0.00019410989],"category_scores_gemma":[0.00046798863,0.000349889,0.00019475698,0.0001415024,0.0003539534,0.0005073806,0.00026472364,0.0012950537,0.00022011767],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080756174,0.00002276798,0.0000043723435,0.000027389395,0.00008810906,0.00002171064,0.0022578149,0.008835205,0.000016200422,0.05267123,0.00016535752,0.9358091],"study_design_scores_gemma":[0.00012062392,0.0023976027,0.00019661436,0.0007317957,0.00032263322,0.0011317481,0.0005648859,0.4022987,0.015545253,0.14316891,0.43069795,0.002823317],"about_ca_topic_score_codex":0.00016373413,"about_ca_topic_score_gemma":0.00020518524,"teacher_disagreement_score":0.9692813,"about_ca_system_score_codex":0.00011654801,"about_ca_system_score_gemma":0.00013865551,"threshold_uncertainty_score":0.99989533},"labels":[],"label_agreement":null},{"id":"W4322709492","doi":"10.1007/978-3-031-21003-7","title":"Toward Robots That Reason: Logic, Probability & Causal Laws","year":2023,"lang":"en","type":"book","venue":"Synthesis lectures on artificial intelligence and machine learning","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Wetenschappelijk Onderzoek; Deutscher Akademischer Austauschdienst; UK Research and Innovation","keywords":"Robot; Computer science; Mathematical economics; Cognitive science; Artificial intelligence; Epistemology; Mathematics; Psychology; Philosophy","score_opus":0.13120131618882522,"score_gpt":0.2986068013379378,"score_spread":0.1674054851491126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322709492","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00032816935,0.0046439734,0.6462537,0.004534363,0.0029815582,0.0018067779,0.000044865857,0.0032027424,0.33620387],"genre_scores_gemma":[0.36928895,0.0046780775,0.0149594005,0.0018760136,0.0034238992,0.00048709693,0.0002552757,0.0005229419,0.60450834],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9953602,0.0005807557,0.000671502,0.0017597228,0.0007336675,0.0008941349],"domain_scores_gemma":[0.99584603,0.0022533436,0.00047220927,0.000957564,0.00016574943,0.00030508393],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001422439,0.00088771066,0.0010127561,0.00039293122,0.0007254836,0.00070531724,0.0013839048,0.0007155298,0.00033146274],"category_scores_gemma":[0.002796005,0.0007133692,0.0003873871,0.00036453965,0.00032863356,0.00022414309,0.00068469706,0.0019143863,0.0016715325],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013448608,0.00017832596,0.00011404844,0.00033066573,0.00019129607,0.00015104261,0.0029403358,0.0072765,0.000089819885,0.36756933,0.00400448,0.61701965],"study_design_scores_gemma":[0.0000548199,0.0005644685,0.00014601319,0.0007809849,0.00015786264,0.000087407076,0.00006512007,0.016395003,0.0059140385,0.8358594,0.13795519,0.0020196757],"about_ca_topic_score_codex":0.00019729533,"about_ca_topic_score_gemma":0.0013191544,"teacher_disagreement_score":0.6312943,"about_ca_system_score_codex":0.00022850285,"about_ca_system_score_gemma":0.00031817835,"threshold_uncertainty_score":0.99953175},"labels":[],"label_agreement":null}]}