{"id":"W4398677303","doi":"10.7910/dvn/fmk6sq/tbyrcf","title":"648945_5.roi","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Chemical Reactions and Isotopes","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002285477,0.0004346466,0.0005002365,0.0001084583,0.0002031267,0.00005912156,0.0008592466,0.0009169258,0.1744766],"category_scores_gemma":[0.0004697296,0.0004236304,0.0002192416,0.0002259076,0.0002086903,0.0001701754,0.0005493689,0.002261991,0.4979973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001113387,"about_ca_system_score_gemma":0.0001698517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001125633,"about_ca_topic_score_gemma":0.00003379705,"domain_scores_codex":[0.9980257,0.0001780655,0.0004267584,0.0006368512,0.0002421654,0.0004905113],"domain_scores_gemma":[0.9981218,0.0003092201,0.0002161579,0.0007628688,0.00006484942,0.0005250933],"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":[0.0001714068,0.0002195359,0.000005485783,0.000131783,0.0002382226,0.0002382822,0.00001485619,0.000003621523,0.001485329,0.00004267623,0.996061,0.001387759],"study_design_scores_gemma":[0.0007656862,0.00006081772,0.000006093526,0.00002460198,0.0004752142,0.00003450938,0.0000249428,0.00004357902,0.001274268,0.00003542566,0.9968032,0.0004517065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003671564,0.000005229737,0.000007329937,0.00007900075,0.002052396,0.0003270553,0.994871,0.0001155617,0.002505689],"genre_scores_gemma":[0.00003867531,0.001947221,0.00008201043,0.005599524,0.001168844,0.00005586616,0.9901118,0.00003157762,0.0009645006],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3235207,"threshold_uncertainty_score":0.9998215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1022691721771522,"score_gpt":0.4033249338180919,"score_spread":0.3010557616409398,"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."}}