{"id":"W4235886360","doi":"10.1515/iupac.79.1795","title":"Phenome","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Hematological disorders and diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; CAS Registry Number; Computer science; Multidisciplinary approach; Toxicology; Medicine; Chemistry; Biology; Philosophy; Sociology; Linguistics; Social 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002091465,0.0003778556,0.0009352167,0.0001388766,0.00005967298,0.00002335421,0.0001942042,0.0005091287,0.01145956],"category_scores_gemma":[0.002847189,0.0002324943,0.000222502,0.0001412454,0.0001692409,0.00002832466,0.0001221876,0.0004526962,0.00002166437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001781651,"about_ca_system_score_gemma":0.0006924862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002931906,"about_ca_topic_score_gemma":0.00006869408,"domain_scores_codex":[0.9977784,0.00003430379,0.0004457607,0.0004389786,0.0008644322,0.0004381307],"domain_scores_gemma":[0.9981595,0.0002190851,0.0001455032,0.000738869,0.0003886696,0.0003484079],"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":[0.0002482618,0.0005569375,0.00004405724,0.0003095456,0.00008843387,0.0004742999,0.000002479308,6.240665e-8,0.000002159587,0.00004578631,0.9960455,0.002182445],"study_design_scores_gemma":[0.001718604,0.0006708846,0.0001063882,0.000708296,0.0002529286,0.00006078801,0.00001296123,9.811054e-7,0.000004195379,0.0005089114,0.9956547,0.0003003565],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009848674,0.001816307,0.0001391573,0.002659948,0.0003855361,0.0003776267,0.9939462,0.00008248012,0.0004942509],"genre_scores_gemma":[0.00003224925,0.003012909,0.00007385702,0.002237123,0.0007279345,0.00001480418,0.9932884,0.00003289822,0.000579798],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0114379,"threshold_uncertainty_score":0.9894441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02081420321343177,"score_gpt":0.4254664282322466,"score_spread":0.4046522250188149,"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."}}