{"meta":{"query_hash":"d37094c03481","filters":{"venue":"[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence"},"cohort_total":4,"direct_labels_cover":0,"predictions_cover":4,"exported":4,"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/d37094c03481","api":"https://metacan.xera.ac/api/v1/cohort?venue=%5B1990%5D+Proceedings+of+the+2nd+International+IEEE+Conference+on+Tools+for+Artificial+Intelligence"},"results":[{"id":"W2097984521","doi":"10.1109/tai.1990.130417","title":"A massively parallel knowledge-base server using a hypercube multiprocessor","year":2002,"lang":"en","type":"article","venue":"[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Massively parallel; Computer science; Hypercube; Multiprocessing; Parallel computing; Frame (networking); Base (topology); Knowledge base; Recursion (computer science); Representation (politics); Theoretical computer science; Architecture; Programming language; Artificial intelligence","score_opus":0.20404213269606833,"score_gpt":0.33013087970059013,"score_spread":0.1260887470045218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097984521","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":[0.2539874,0.00013030747,0.7284817,0.0044867536,0.0040776404,0.0016145424,0.00019648245,0.00023554443,0.006789604],"genre_scores_gemma":[0.97021276,0.000042860505,0.02856342,0.00021022563,0.00028122586,0.00008457353,0.0000042152637,0.000022347414,0.00057839067],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997519,0.000015767258,0.0006994135,0.0007116159,0.0006163347,0.00043783872],"domain_scores_gemma":[0.9973318,0.00020433064,0.0004977974,0.00033928588,0.0014930225,0.00013376611],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003599596,0.00032139747,0.0003079582,0.00017923926,0.00031961655,0.0007056263,0.0030379258,0.00013647231,0.00012687429],"category_scores_gemma":[0.00048049793,0.00024554235,0.00023189155,0.0004092737,0.0001956747,0.0018790563,0.00043099746,0.00027567422,0.000071221846],"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":[0.00021420782,0.0010143641,0.0000822479,0.00013093952,0.00010229821,0.0000031687327,0.0019400823,0.001958988,0.07814811,0.76542795,0.002112828,0.14886482],"study_design_scores_gemma":[0.00012814387,0.00016191484,0.00006309808,0.0003329474,0.000015944694,0.0000125100005,0.00024521587,0.8359123,0.12944353,0.032074973,0.0012959383,0.00031352715],"about_ca_topic_score_codex":0.000054093514,"about_ca_topic_score_gemma":0.000013975966,"teacher_disagreement_score":0.83395326,"about_ca_system_score_codex":0.00012211943,"about_ca_system_score_gemma":0.00008472337,"threshold_uncertainty_score":0.9999997},"labels":[],"label_agreement":null},{"id":"W2099873657","doi":"10.1109/tai.1990.130451","title":"KNOWBEL: a hybrid expert system building tool","year":2002,"lang":"en","type":"article","venue":"[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Knowledge base; Knowledge representation and reasoning; Expert system; Programming language; Prolog; Knowledge-based systems; Telos; Software engineering; Logic programming; Sublanguage; Legal expert system; Inference engine; Artificial intelligence; Datalog","score_opus":0.10749208777967083,"score_gpt":0.30102167037262473,"score_spread":0.19352958259295389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099873657","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":[0.1813244,0.00024219106,0.701737,0.0057364996,0.011632259,0.0023188815,0.000095134645,0.0007436563,0.09616997],"genre_scores_gemma":[0.99237305,0.000055278284,0.0056464802,0.0002129885,0.0005436397,0.00016880021,0.000001648702,0.000024795081,0.0009733068],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99717134,0.000018936127,0.00082258374,0.0007623825,0.0007242818,0.00050046656],"domain_scores_gemma":[0.997356,0.0002846112,0.0005431264,0.0003664661,0.001335364,0.00011441473],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005391413,0.00035525896,0.00037208636,0.00019852287,0.0003373377,0.0009423884,0.0035902907,0.00011684719,0.00010194998],"category_scores_gemma":[0.0006921186,0.00027498367,0.0003326661,0.00036072658,0.0002028743,0.0013337705,0.0003416348,0.00027792435,0.00012204574],"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":[0.000043068132,0.00016969704,0.000019883782,0.000047562255,0.0000454278,0.0000013096413,0.0008243132,0.000058145153,0.022511546,0.90312153,0.0022778357,0.07087969],"study_design_scores_gemma":[0.00010669378,0.00028385688,0.000027760643,0.0005049281,0.000015276504,0.000041344727,0.000515302,0.43189278,0.5148854,0.045233205,0.006042744,0.00045068492],"about_ca_topic_score_codex":0.00003651781,"about_ca_topic_score_gemma":0.000006344031,"teacher_disagreement_score":0.85788834,"about_ca_system_score_codex":0.00021663011,"about_ca_system_score_gemma":0.000060046572,"threshold_uncertainty_score":0.99997026},"labels":[],"label_agreement":null},{"id":"W2115086828","doi":"10.1109/tai.1990.130399","title":"Artificial intelligence and imagery","year":2002,"lang":"en","type":"article","venue":"[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Representation (politics); Mental representation; Mental image; Computer science; Cognition; Artificial intelligence; Scheme (mathematics); Cognitive science; Knowledge representation and reasoning; Image (mathematics); Psychology; Mathematics","score_opus":0.15878998711834455,"score_gpt":0.3183740809825436,"score_spread":0.15958409386419906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115086828","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":[0.015623788,0.00007030605,0.9533966,0.0148085365,0.001900178,0.00112427,0.00006317976,0.00029555976,0.012717545],"genre_scores_gemma":[0.98886704,0.00020848463,0.009567436,0.00034473868,0.00023431215,0.00011312795,0.0000022767997,0.000019767842,0.00064282946],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99728286,0.000018279063,0.000914878,0.0007166937,0.00067942875,0.000387853],"domain_scores_gemma":[0.99744725,0.00031525022,0.00053144665,0.00033653283,0.0012523151,0.00011720486],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00056679617,0.0003143722,0.00030637576,0.00023132731,0.0002860243,0.00095765176,0.0024298488,0.00014901166,0.00014800655],"category_scores_gemma":[0.0007787939,0.0002529913,0.00021101169,0.00051814603,0.0004713802,0.0014842631,0.00028729148,0.00032109974,0.00006614552],"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":[0.000040240993,0.00015118996,0.000011399016,0.000023749377,0.000019687146,3.9254803e-7,0.00030585064,0.0000068889194,0.040371023,0.671284,0.00036701342,0.28741854],"study_design_scores_gemma":[0.000013332347,0.00018185879,0.000038693557,0.00010387364,0.000010018035,0.000009891509,0.00023265024,0.12398316,0.6249677,0.24932677,0.00089741196,0.00023466552],"about_ca_topic_score_codex":0.000018956027,"about_ca_topic_score_gemma":0.0000046704904,"teacher_disagreement_score":0.97324324,"about_ca_system_score_codex":0.00008295387,"about_ca_system_score_gemma":0.000044687196,"threshold_uncertainty_score":0.99999225},"labels":[],"label_agreement":null},{"id":"W2161019132","doi":"10.1109/tai.1990.130317","title":"Specification of expert systems","year":2002,"lang":"en","type":"article","venue":"[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Blueprint; System requirements specification; Computer science; Software engineering; Formal specification; Software requirements specification; Focus (optics); Programming language; Algebraic specification; Functional specification; Specification language; Software; Software development; Software design; Engineering; Software construction","score_opus":0.18394525129376613,"score_gpt":0.31005084539909045,"score_spread":0.12610559410532432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161019132","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":[0.05628485,0.0001942118,0.8994027,0.0053630555,0.005408874,0.0012467172,0.00008037266,0.00016735905,0.03185191],"genre_scores_gemma":[0.9939317,0.00005062443,0.005056299,0.00009714441,0.00022992301,0.000049959614,0.0000029222404,0.00001222381,0.00056917366],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99795085,0.000012606233,0.00076219445,0.0004118988,0.0006037586,0.0002587077],"domain_scores_gemma":[0.99751,0.00032954817,0.00065470824,0.0002604068,0.001181835,0.0000635093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061203714,0.00019148402,0.00023836298,0.00018037402,0.00013904623,0.00034111904,0.0021051292,0.00010816032,0.000058516613],"category_scores_gemma":[0.00036744855,0.00015474236,0.0001522351,0.0003248692,0.00014752512,0.000898445,0.00010202543,0.0001834357,0.000028682278],"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":[0.000054016356,0.00013760471,0.000056245415,0.000046315297,0.000032386888,2.1576535e-7,0.0012681488,0.0006451817,0.04850689,0.9040505,0.0017576702,0.043444805],"study_design_scores_gemma":[0.0000607631,0.00026295078,0.00006243842,0.00047953203,0.000008397513,0.000006604613,0.0006223537,0.45999584,0.50701463,0.027920948,0.0033141465,0.00025137764],"about_ca_topic_score_codex":0.000059272956,"about_ca_topic_score_gemma":0.0000030772073,"teacher_disagreement_score":0.93764687,"about_ca_system_score_codex":0.00006659487,"about_ca_system_score_gemma":0.000032353713,"threshold_uncertainty_score":0.631021},"labels":[],"label_agreement":null}]}