{"id":"W4236471949","doi":"10.1515/iupac.83.0427","title":"Off-Rate","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Context (archaeology); Field (mathematics); Computer science; Multidisciplinary approach; Process (computing); Data science; Component (thermodynamics); Management science; Sociology; Engineering; Biology; Linguistics; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002253411,0.001740158,0.001820511,0.003494934,0.001034655,0.004196511,0.002931712,0.001731137,0.127836],"category_scores_gemma":[0.02036732,0.0006726813,0.002603235,0.005165591,0.0004144552,0.00288732,0.001846078,0.002897642,0.165097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001605753,"about_ca_system_score_gemma":0.002344942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01742647,"about_ca_topic_score_gemma":0.02517211,"domain_scores_codex":[0.9961159,0.0005515228,0.0006005101,0.001277505,0.000961588,0.0004929167],"domain_scores_gemma":[0.9912816,0.002401476,0.000965488,0.002913398,0.00202809,0.0004099713],"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":[0.0002758755,0.00004787714,0.00578496,0.0007065815,0.00008434671,0.00003187697,0.00003212506,0.0005041845,0.000123387,0.001463784,0.979087,0.01185814],"study_design_scores_gemma":[0.0003804079,0.00006392539,0.01599734,0.0006563397,0.0001084688,0.0003439202,0.0001611678,0.001420947,0.0006301609,0.004265226,0.9758985,0.00007354366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001229509,0.0003364782,0.0004590745,0.0002462148,0.0001964299,0.00006242924,0.9899088,0.001335871,0.006225252],"genre_scores_gemma":[0.003416366,0.0002730663,0.0009703835,0.0003742386,0.00008343792,0.0001675796,0.9879194,0.0006475718,0.006147805],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.127836,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673967924578412,"score_gpt":0.416741050678079,"score_spread":0.4000013714322949,"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."}}