{"id":"W4252061706","doi":"10.1515/iupac.79.1854","title":"Probit","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Philosophy; Biology; Linguistics","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":[0.002330717,0.001940487,0.001513856,0.003455838,0.0009632554,0.003358458,0.003439056,0.001745762,0.2399054],"category_scores_gemma":[0.02342437,0.0007195999,0.002582949,0.004545846,0.0003732626,0.002586918,0.001774486,0.002455154,0.2050559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001507101,"about_ca_system_score_gemma":0.003017469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0180625,"about_ca_topic_score_gemma":0.02852923,"domain_scores_codex":[0.9976364,0.0006056373,0.0003111823,0.0007739205,0.0004466431,0.0002261362],"domain_scores_gemma":[0.9916562,0.004118016,0.0006296205,0.001706575,0.001595668,0.0002940043],"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":[0.0001743649,0.0000353919,0.002956515,0.0007480453,0.0001060847,0.00003248121,0.00002189717,0.0008584635,0.00003118818,0.001445789,0.9800578,0.01353196],"study_design_scores_gemma":[0.0004390434,0.00006189103,0.005624305,0.0007092034,0.0001412371,0.0001426406,0.0001106092,0.00291777,0.0002134503,0.008522063,0.9810632,0.00005439383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003125948,0.000175639,0.0004577153,0.0002547947,0.00007150193,0.00004191465,0.9950274,0.0009210847,0.002737356],"genre_scores_gemma":[0.002278985,0.0002181888,0.001480859,0.0002976178,0.00004892004,0.0003712203,0.9901112,0.0004130068,0.004780071],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2399054,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01643584490693378,"score_gpt":0.4211161397511682,"score_spread":0.4046802948442344,"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."}}