{"id":"W4241909430","doi":"10.1515/iupac.78.0551","title":"Run-Off","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 Guelph","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; Computer science; Pesticide; Data science; Management science; Ecology; Engineering; Chemistry; Data mining; Biology","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":[0.001607692,0.002513741,0.001403468,0.00382887,0.001203896,0.003688755,0.002805638,0.001943717,0.1397666],"category_scores_gemma":[0.01100626,0.0007366991,0.002236145,0.00536115,0.0004785207,0.002926232,0.002596542,0.002017771,0.1843346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001895381,"about_ca_system_score_gemma":0.003044076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02560188,"about_ca_topic_score_gemma":0.05465462,"domain_scores_codex":[0.9976782,0.0003388421,0.0003516958,0.0008650986,0.0004811703,0.000284948],"domain_scores_gemma":[0.9950635,0.001331755,0.000409082,0.001766554,0.001129005,0.0003000435],"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":[0.0001318116,0.00002294023,0.001457015,0.0006720326,0.00003532784,0.00002412803,0.00002789371,0.0003060221,0.0001209807,0.0008056843,0.9906474,0.005748699],"study_design_scores_gemma":[0.0001405508,0.00002464974,0.003536477,0.000450954,0.0000345603,0.0000661634,0.00008826764,0.0006117618,0.0004281897,0.002259316,0.9923216,0.00003753396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001894473,0.00009426384,0.0001930265,0.00008007227,0.00003970066,0.0000235443,0.9966983,0.0010638,0.001617847],"genre_scores_gemma":[0.0004865912,0.00006698434,0.0005521438,0.00008977165,0.000008913503,0.00009725727,0.9973769,0.0002379677,0.001083497],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1397666,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01588391722822832,"score_gpt":0.4158421547609816,"score_spread":0.3999582375327533,"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."}}