{"id":"W4398355813","doi":"10.7910/dvn/k0oyqf/r5tuor","title":"tableA7.txt","year":2019,"lang":"it","type":"dataset","venue":"Harvard Dataverse","topic":"Inorganic Fluorides and Related Compounds","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.0003863399,0.001323409,0.001327271,0.0002255027,0.0004282546,0.0005120039,0.002943991,0.002490321,0.6438978],"category_scores_gemma":[0.0002072726,0.001321435,0.000538308,0.0004150636,0.0002576461,0.000472247,0.002067063,0.003125304,0.9257693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005529654,"about_ca_system_score_gemma":0.0007422818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005704299,"about_ca_topic_score_gemma":0.00001767595,"domain_scores_codex":[0.9944159,0.00009423988,0.001189777,0.001757528,0.00104211,0.001500495],"domain_scores_gemma":[0.99252,0.0002295178,0.0007621238,0.005792511,0.0002188652,0.00047694],"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":[0.0001741378,0.0003509842,0.00001526168,0.001591887,0.0009965296,0.0007062938,0.00005497009,0.00004991609,0.003267756,0.0001267141,0.9925214,0.0001441566],"study_design_scores_gemma":[0.001923456,0.0001002044,0.000002604733,0.0008752263,0.001186788,0.0002749447,0.0002638276,0.0003893119,0.001714556,0.00002176498,0.991654,0.001593316],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001828571,0.00001459953,0.00001358259,0.00001179784,0.005390573,0.0003465161,0.9766172,0.0001282396,0.01729461],"genre_scores_gemma":[0.0002180115,0.0033023,0.000114206,0.0004674717,0.001839971,0.00001758396,0.923332,0.0001763616,0.07053209],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2818714,"threshold_uncertainty_score":0.9999517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01265425983314486,"score_gpt":0.221464904044616,"score_spread":0.2088106442114711,"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."}}