{"id":"W4250897584","doi":"10.1515/iupac.79.1631","title":"Miosis","year":2016,"lang":"es","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Toxicology; Computer science; Library science; Chemistry; Philosophy; Linguistics; Biology; 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":[0.001759071,0.001928299,0.001826961,0.003890718,0.0008931265,0.003638064,0.003232038,0.002066683,0.1435525],"category_scores_gemma":[0.01234303,0.0006365754,0.002182167,0.004505733,0.0004206352,0.002217317,0.002284571,0.001956911,0.1792777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296433,"about_ca_system_score_gemma":0.002800338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006977632,"about_ca_topic_score_gemma":0.01973515,"domain_scores_codex":[0.9981887,0.0003565492,0.0003087436,0.0006494736,0.0003013661,0.0001951356],"domain_scores_gemma":[0.9964887,0.001190364,0.0004320519,0.0009308761,0.0006820468,0.0002759345],"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":[0.000222982,0.00002700831,0.00125498,0.002194474,0.00009057557,0.00003567144,0.00002516625,0.0003107752,0.0001258756,0.001009889,0.9871526,0.00754989],"study_design_scores_gemma":[0.0003837049,0.00003128624,0.0021287,0.0006830912,0.00008208272,0.00009131063,0.00004536018,0.0003719093,0.0002638784,0.002218354,0.9936721,0.0000281637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001238885,0.0001996025,0.000133586,0.0001050641,0.00004927249,0.00003483555,0.9973919,0.0006117309,0.001350052],"genre_scores_gemma":[0.0004436979,0.0001657926,0.0005495351,0.0001643046,0.00002083817,0.0001955,0.997153,0.0001313312,0.001175931],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1435525,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135009013860955,"score_gpt":0.3968139884572474,"score_spread":0.3833130870711519,"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."}}