{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":7,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":7,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"b6d5d9280458","filters":{"venue":"Synthesis lectures on mechanical engineering"}},"results":[{"id":"W4389257761","doi":"10.1007/978-3-031-46866-7","title":"Data Analytics for Process Engineers","year":2023,"lang":"en","type":"book","venue":"Synthesis lectures on mechanical engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Analytics; Process (computing); Data science; Computer science; Data analysis; Data mining","authors":[{"name":"Daniela Galatro","is_ca":true},{"name":"Stephen Dawe","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02758128072913332,"gpt":0.2470041776516701,"spread":0.2194228969225368,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004311829,0.0007600875,0.0009465765,0.0005008145,0.00006782161,0.0001043338,0.001106899,0.0008235777,0.00005455041],"category_scores_gemma":[0.001274986,0.0007591887,0.0003076372,0.0002492394,0.00001200669,0.00007998527,0.00007014891,0.0008288316,0.0001538855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003363003,"about_ca_system_score_gemma":0.00009053257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.942207e-7,"about_ca_topic_score_gemma":0.00001275927,"domain_scores_codex":[0.9974412,0.00001521034,0.0006150486,0.0007495147,0.0005089615,0.0006701119],"domain_scores_gemma":[0.9970225,0.001345841,0.00007737173,0.001265002,0.00005924135,0.0002300391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003485599,0.00001292439,1.293111e-8,0.001937355,0.0008850716,0.00001808393,0.00001958471,0.9476579,0.001104086,0.001993085,0.03795545,0.00838156],"study_design_scores_gemma":[0.0002004289,0.00004917107,2.499998e-7,0.0005546316,0.0002161361,0.000006604186,0.000008125153,0.8463985,0.002757044,0.0004535562,0.1486295,0.0007260639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0003112473,0.004410405,0.8268905,0.0007479523,0.03240477,0.009957062,0.01311199,0.03959996,0.07256617],"genre_scores_gemma":[0.4606299,0.001640578,0.006932311,0.0008390648,0.02463164,0.007964984,0.004988765,0.01121719,0.4811555],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8199582,"threshold_uncertainty_score":0.9994859,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389257862","doi":"10.1007/978-3-031-46866-7_2","title":"Exploratory Data Analysis","year":2023,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on mechanical engineering","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Exploratory data analysis; Outlier; Computer science; Dimensionality reduction; Cluster analysis; Visualization; Data mining; Missing data; Exploratory analysis; Data visualization; Artificial intelligence; Machine learning; Data science","authors":[{"name":"Daniela Galatro","is_ca":true},{"name":"Stephen Dawe","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04583593783609774,"gpt":0.2252894266558081,"spread":0.1794534888197103,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006114835,0.0005940523,0.001002246,0.0009049166,0.0001399088,0.0002730583,0.003196429,0.0004256666,0.0001910077],"category_scores_gemma":[0.0005518685,0.0005387177,0.0005913055,0.000595002,0.00001956715,0.0002327056,0.001325959,0.0006893759,0.0003049244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008425702,"about_ca_system_score_gemma":0.00005291411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007605212,"about_ca_topic_score_gemma":0.00002358472,"domain_scores_codex":[0.9967607,0.00002862993,0.0005691253,0.001413767,0.000736682,0.0004911059],"domain_scores_gemma":[0.9953448,0.0009125423,0.0002165208,0.003245861,0.0000608452,0.0002193897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001076937,0.00002197353,1.977279e-7,0.00008422025,0.004729564,0.0002053451,0.00004343447,0.1015859,0.0004566552,0.8379026,0.001328016,0.05363129],"study_design_scores_gemma":[0.00005626617,0.00005436621,0.00000373061,0.0002348391,0.001346881,0.000005227435,0.000003521508,0.9553896,0.001570919,0.005049494,0.03530252,0.000982623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.000007107794,0.000428869,0.9565892,0.000401699,0.0008148507,0.0002237169,0.0001512049,0.001872562,0.03951076],"genre_scores_gemma":[0.2483421,0.002689892,0.2509719,0.001996828,0.006457581,0.0004116735,0.001374504,0.002774865,0.4849807],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8538037,"threshold_uncertainty_score":0.9997064,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389257879","doi":"10.1007/978-3-031-46866-7_5","title":"Optimization","year":2023,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on mechanical engineering","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Bayesian optimization; Computer science; Process (computing); Machine learning; Particle swarm optimization; Hyperparameter optimization; Artificial intelligence; Metaheuristic; Multi-swarm optimization; Engineering optimization; Process optimization; Inference; Optimization problem; Mathematical optimization; Algorithm; Engineering; Support vector machine; Mathematics","authors":[{"name":"Daniela Galatro","is_ca":true},{"name":"Stephen Dawe","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01088378025746942,"gpt":0.1830527667811313,"spread":0.1721689865236619,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000118296,0.0005689478,0.0004785599,0.0003721574,0.00005694251,0.00007393926,0.0002681464,0.0006444809,0.00062528],"category_scores_gemma":[0.0001886934,0.0005766557,0.0001893564,0.0000680762,0.000009379455,0.00005445176,0.00004193525,0.0006153295,0.0002541745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000137152,"about_ca_system_score_gemma":0.00001377925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.822644e-7,"about_ca_topic_score_gemma":0.000001371013,"domain_scores_codex":[0.9985054,0.000005244674,0.0003652152,0.0004056249,0.0003628831,0.0003556145],"domain_scores_gemma":[0.9990915,0.0003016104,0.00005531742,0.0003845566,0.00003429582,0.0001327148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005755835,0.00000282511,5.490761e-9,0.0002450556,0.00009672924,0.00001139791,0.000005870524,0.9783483,0.00005727105,0.01564049,0.0004998581,0.005086405],"study_design_scores_gemma":[0.00007351999,0.00002752919,4.927322e-7,0.0005343974,0.00007805539,0.000003568764,5.332016e-7,0.9724681,0.01077153,0.00125372,0.01410727,0.0006812808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00001110413,0.0003588692,0.7780841,0.0001098556,0.002421152,0.0005687738,0.00008136477,0.00708288,0.2112819],"genre_scores_gemma":[0.3041813,0.0167816,0.1046559,0.0008898347,0.008238413,0.001416574,0.001083817,0.01104829,0.5517042],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6734282,"threshold_uncertainty_score":0.9996685,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389257804","doi":"10.1007/978-3-031-46866-7_3","title":"Data-Based Modelling for Prediction","year":2023,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on mechanical engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Contrast (vision); Set (abstract data type); Process (computing); Machine learning; Linear regression; Data set; Artificial intelligence; Data mining","authors":[{"name":"Daniela Galatro","is_ca":true},{"name":"Stephen Dawe","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06619471281009445,"gpt":0.260745482302189,"spread":0.1945507694920945,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003170627,0.0006393552,0.0006178527,0.0005944616,0.00007878948,0.00005488153,0.001095403,0.0009135332,0.00006609671],"category_scores_gemma":[0.0007128594,0.0006592702,0.0002042245,0.0001012381,0.00002610491,0.0000901422,0.0001803284,0.001155937,0.0001013643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002988511,"about_ca_system_score_gemma":0.00003215294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.327014e-7,"about_ca_topic_score_gemma":0.000002646153,"domain_scores_codex":[0.9975456,0.00000663264,0.0004707602,0.000803477,0.0005173071,0.0006562339],"domain_scores_gemma":[0.996564,0.00170944,0.00005297687,0.001495486,0.00005422325,0.0001238711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002521591,0.00000512612,9.257549e-9,0.0004057635,0.0001533173,0.00001159032,9.949146e-7,0.9702688,0.001559426,0.01247553,0.001356277,0.0137379],"study_design_scores_gemma":[0.0001266199,0.00006626483,9.874919e-8,0.0005304288,0.0000680287,0.000001810621,8.098395e-7,0.9194955,0.01850328,0.005818354,0.05488261,0.0005062439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000007574699,0.000189779,0.9857113,0.0001150047,0.0007923195,0.0007716035,0.002856708,0.005806644,0.003749113],"genre_scores_gemma":[0.2046605,0.006915752,0.6286172,0.0007620939,0.0104713,0.009439527,0.01252503,0.01827258,0.108336],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.357094,"threshold_uncertainty_score":0.9995859,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389257734","doi":"10.1007/978-3-031-46866-7_1","title":"Sources of Data","year":2023,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on mechanical engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Data acquisition; Instrumentation (computer programming); Process (computing); Digital data; Sampling (signal processing); Computer science; Experimental data; Data mining; Computer hardware; Data transmission; Detector; Statistics; Mathematics; Telecommunications","authors":[{"name":"Daniela Galatro","is_ca":true},{"name":"Stephen Dawe","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02419801504197382,"gpt":0.2167090126238319,"spread":0.1925109975818581,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002635242,0.0004772386,0.0007436107,0.000335854,0.00002892082,0.0000304875,0.0007419937,0.0005403011,0.0001857691],"category_scores_gemma":[0.0002835295,0.0004571236,0.0002109077,0.00007256037,0.00001496626,0.00005263442,0.0001113307,0.0005944496,0.0002377575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006326401,"about_ca_system_score_gemma":0.00001497938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005956274,"about_ca_topic_score_gemma":0.0000121321,"domain_scores_codex":[0.9982917,0.00001133017,0.0005184421,0.0004412553,0.0004317177,0.0003055886],"domain_scores_gemma":[0.9980465,0.0006564592,0.00007871208,0.001076042,0.00002379734,0.0001184788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000102405,0.00003144626,1.89061e-7,0.002825542,0.002946373,0.0001469367,0.00006603967,0.6570927,0.04338156,0.1416176,0.007113785,0.1446754],"study_design_scores_gemma":[0.0003017361,0.0001115893,0.000002860364,0.002082508,0.0003089906,0.00003016474,0.00000934036,0.6965603,0.04485725,0.001783804,0.2525429,0.001408563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001597981,0.01098491,0.09650216,0.0006183616,0.02257627,0.004512985,0.004288755,0.0292621,0.8296565],"genre_scores_gemma":[0.9146974,0.001172873,0.001207617,0.00009152137,0.002390876,0.000164779,0.0001245658,0.001764323,0.07838603],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9130994,"threshold_uncertainty_score":0.999788,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389257780","doi":"10.1007/978-3-031-46866-7_6","title":"Final Remarks","year":2023,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on mechanical engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Sketch; Computer science; Data science; Analytics; Data analysis; Field (mathematics); Process (computing); Exploratory analysis; Meaning (existential); Cultural analytics; Exploratory data analysis; Artificial intelligence; Data mining; Semantic analytics; Epistemology; Semantic Web; Algorithm","authors":[{"name":"Daniela Galatro","is_ca":true},{"name":"Stephen Dawe","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01318322462853436,"gpt":0.1968352108261616,"spread":0.1836519861976272,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002248284,0.0006815181,0.0007468491,0.0004042708,0.00005968774,0.00006899027,0.0003317372,0.0008476048,0.0004518013],"category_scores_gemma":[0.0003003629,0.0006738499,0.0004232618,0.0000804337,0.00001201843,0.00003370867,0.00003846073,0.001092136,0.001241108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002133375,"about_ca_system_score_gemma":0.00001742092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003064294,"about_ca_topic_score_gemma":0.00001184184,"domain_scores_codex":[0.998047,0.00001365198,0.0004972463,0.000472612,0.0004843186,0.0004851529],"domain_scores_gemma":[0.9985836,0.0005835015,0.00005572636,0.0005490896,0.00002744263,0.0002006197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001162177,0.00002039972,4.69471e-8,0.001231981,0.00154608,0.0003712665,0.00003668074,0.6539391,0.0265618,0.2122074,0.01574533,0.08822373],"study_design_scores_gemma":[0.0004325907,0.000156879,0.000004102896,0.002222075,0.0002389035,0.00007063175,0.00000496739,0.4774637,0.02044331,0.003950753,0.4928066,0.002205416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001504458,0.001741241,0.03724057,0.0003958101,0.01442547,0.001668113,0.0002450832,0.01788619,0.9262471],"genre_scores_gemma":[0.4898967,0.001197843,0.001105673,0.0003873491,0.005481583,0.0007820825,0.00006375028,0.003139231,0.4979458],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4897462,"threshold_uncertainty_score":0.9995713,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389257736","doi":"10.1007/978-3-031-46866-7_4","title":"Data-Based Modelling for Control","year":2023,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on mechanical engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Robustness (evolution); Computer science; Control engineering; Automation; Control (management); Machine learning; Artificial intelligence; Control system; Engineering","authors":[{"name":"Daniela Galatro","is_ca":true},{"name":"Stephen Dawe","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03302932424845161,"gpt":0.2193180021647055,"spread":0.1862886779162539,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003542656,0.0007412839,0.0009392496,0.0003563532,0.00007088435,0.00006294317,0.0006901514,0.0007078739,0.00003590626],"category_scores_gemma":[0.0005052577,0.0007763834,0.0002743073,0.00006227544,0.00001095094,0.00009113688,0.00004079114,0.0005875367,0.00007879995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002216059,"about_ca_system_score_gemma":0.00003433361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001151499,"about_ca_topic_score_gemma":0.000004717306,"domain_scores_codex":[0.9976723,0.00001189806,0.0006300003,0.0007372469,0.000397562,0.0005510589],"domain_scores_gemma":[0.9963151,0.002171148,0.0001085663,0.001171192,0.00007270947,0.0001612439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004343514,0.000003733374,3.07838e-9,0.0003287185,0.0002585624,0.000007155297,0.000001570609,0.9684739,0.0005810304,0.02734517,0.0003092127,0.00264757],"study_design_scores_gemma":[0.000450925,0.00003977824,2.215377e-8,0.00063282,0.0002152636,0.000001480127,4.205506e-7,0.9682491,0.001161579,0.002190426,0.02635324,0.0007049424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[5.360835e-7,0.0003219218,0.990765,0.00006367479,0.0009962465,0.001015958,0.001170781,0.002310219,0.003355605],"genre_scores_gemma":[0.5742515,0.001084807,0.3350516,0.001135084,0.01189302,0.006222451,0.004374843,0.01333288,0.05265377],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6557134,"threshold_uncertainty_score":0.9994687,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}