{"id":"W4236883952","doi":"10.1515/iupac.88.0811","title":"Fitness","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Data mining; Philosophy","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":[0.001310224,0.001192728,0.001250687,0.002956179,0.0009371664,0.003331891,0.002142374,0.001682036,0.3557511],"category_scores_gemma":[0.01671668,0.0005163936,0.001407438,0.006205778,0.0003062457,0.003674313,0.00245461,0.001420086,0.3278241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00145303,"about_ca_system_score_gemma":0.002168218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01720512,"about_ca_topic_score_gemma":0.02732943,"domain_scores_codex":[0.9980283,0.0003200813,0.000414005,0.0006053586,0.0004197814,0.0002123734],"domain_scores_gemma":[0.9941068,0.001672581,0.0005715045,0.001298318,0.002009328,0.0003414482],"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":[0.00006359859,0.00001043875,0.001035798,0.0006789224,0.00001511503,0.0000119854,0.00002446093,0.00005755256,0.00003138583,0.0009134816,0.9877107,0.009446548],"study_design_scores_gemma":[0.00007865082,0.0000101568,0.003083546,0.0005612531,0.00001201447,0.00004371386,0.0000830544,0.00007997783,0.00006215731,0.001237477,0.9947311,0.00001690626],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001506066,0.000124412,0.0001396104,0.0002064497,0.00006871973,0.00004110606,0.9922566,0.0003774179,0.006635071],"genre_scores_gemma":[0.0008326981,0.0002398474,0.0005893951,0.0003984382,0.0000372459,0.0002294239,0.9904888,0.0002226454,0.006961478],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3557511,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0261360464347882,"score_gpt":0.4667005477700614,"score_spread":0.4405645013352733,"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."}}