{"id":"W4398713014","doi":"10.7910/dvn/k0oyqf/lnbjgt","title":"tableA8.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":[0.0003619996,0.00131905,0.001335776,0.0002191733,0.0004201055,0.0005090327,0.002924635,0.002479641,0.6353007],"category_scores_gemma":[0.0001930702,0.001318351,0.000542552,0.0004075431,0.0002539402,0.0004683136,0.002095306,0.003099686,0.9243785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005552485,"about_ca_system_score_gemma":0.0007062853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007430284,"about_ca_topic_score_gemma":0.00002276894,"domain_scores_codex":[0.9944388,0.000093252,0.00120188,0.001747916,0.001027046,0.001491084],"domain_scores_gemma":[0.9925582,0.0002255654,0.0007732491,0.005752891,0.0002156295,0.0004744681],"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":[0.0001675181,0.0003469163,0.00002330654,0.001587588,0.0009941889,0.0006964018,0.00005178349,0.00003615209,0.003174624,0.0001243567,0.9926003,0.0001969068],"study_design_scores_gemma":[0.001906916,0.00009948928,0.000002858867,0.0008592763,0.001183794,0.0002086644,0.0002542023,0.0003932294,0.001425176,0.00002121581,0.9920552,0.001589947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002017934,0.00001185552,0.00001667383,0.00001130743,0.005340448,0.0003425745,0.9774314,0.0001280391,0.01651593],"genre_scores_gemma":[0.0002160708,0.003142972,0.0001385788,0.0004615108,0.001825677,0.0000176455,0.9278396,0.0001754551,0.06618248],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2890778,"threshold_uncertainty_score":0.9999561,"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."}}