{"id":"W4240267244","doi":"10.1515/iupac.79.2076","title":"Surrogate","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Reproductive Health and Technologies","field":"Medicine","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; Organic chemistry","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":[0.001859954,0.002012894,0.001604014,0.003575464,0.0009742694,0.003500533,0.003282569,0.002029915,0.1614876],"category_scores_gemma":[0.01546994,0.000593216,0.002403692,0.005360061,0.0004051779,0.002311666,0.002070867,0.002027326,0.1961597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648727,"about_ca_system_score_gemma":0.003090604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01458591,"about_ca_topic_score_gemma":0.02893754,"domain_scores_codex":[0.997225,0.0005376596,0.0004759885,0.000958683,0.0005323815,0.0002703087],"domain_scores_gemma":[0.994673,0.001523882,0.0005857183,0.00139683,0.001514319,0.0003062861],"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":[0.0001636448,0.00002739253,0.00160922,0.001218245,0.00006013098,0.00002496998,0.00002261851,0.0002683077,0.00007746164,0.0009574231,0.9874992,0.008071438],"study_design_scores_gemma":[0.0002389963,0.00002638399,0.003039588,0.00068526,0.00005680753,0.00008723685,0.0000721176,0.0003361981,0.0001920305,0.002258198,0.9929791,0.00002810898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001409659,0.000143895,0.0001600325,0.00009610574,0.00005078913,0.00003619503,0.9972474,0.0003043209,0.001820297],"genre_scores_gemma":[0.0004845324,0.0001147288,0.0004559896,0.0001637817,0.00001622542,0.0001642344,0.9970531,0.00008078216,0.001466607],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1614876,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02590190419243207,"score_gpt":0.4566413898158341,"score_spread":0.430739485623402,"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."}}