{"id":"W4393876710","doi":"10.5281/zenodo.7217655","title":"InductiveQE Datasets","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002703487,0.003611401,0.001501342,0.005081182,0.001700731,0.003034072,0.00656295,0.003574421,0.06702482],"category_scores_gemma":[0.01412992,0.001002521,0.003269947,0.006937373,0.0008785517,0.004186504,0.003939647,0.003671623,0.06922179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003635182,"about_ca_system_score_gemma":0.003187331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02783854,"about_ca_topic_score_gemma":0.04769513,"domain_scores_codex":[0.9965355,0.0007027796,0.0003463372,0.001002776,0.001033519,0.0003790458],"domain_scores_gemma":[0.9950334,0.001698649,0.0002008439,0.001292403,0.001507129,0.0002675827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001048531,0.00009295355,0.0007360939,0.001303503,0.00006757441,0.00006980728,0.00004547205,0.00222502,0.0004009243,0.002425988,0.9841214,0.008406437],"study_design_scores_gemma":[0.0004017054,0.00008543696,0.002675118,0.0003693022,0.00006986653,0.0002242537,0.0002164787,0.008960037,0.002029282,0.009223277,0.9756566,0.00008870965],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001129273,0.0005250383,0.002512581,0.0004543732,0.0001294093,0.000219883,0.9801775,0.009013496,0.005838429],"genre_scores_gemma":[0.001284807,0.0001384373,0.003161542,0.0002185865,0.00001090853,0.0002516371,0.9933209,0.0003933706,0.001219851],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06702482,"threshold_uncertainty_score":0.2242204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05273877803525387,"score_gpt":0.27091129887035,"score_spread":0.2181725208350962,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}