{"id":"W4241051992","doi":"10.1515/iupac.88.0979","title":"Leptocephaly","year":2017,"lang":"en","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":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","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":[0.0007249481,0.001343246,0.001310834,0.003512171,0.000751687,0.002573176,0.001613216,0.001048503,0.1416717],"category_scores_gemma":[0.005899611,0.0004489438,0.001141693,0.005978398,0.0003722173,0.001873087,0.001955242,0.001261786,0.1244359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156765,"about_ca_system_score_gemma":0.002128358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01956156,"about_ca_topic_score_gemma":0.03803917,"domain_scores_codex":[0.9990381,0.0001538404,0.0002203713,0.0002864363,0.0001912453,0.0001100185],"domain_scores_gemma":[0.9979815,0.0005465476,0.0003943458,0.0004520714,0.0004635942,0.000161765],"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":[0.0002326195,0.00001546004,0.002358391,0.002178066,0.00005389743,0.00007152865,0.00003569153,0.0001630342,0.0002526547,0.001044955,0.9784532,0.01514059],"study_design_scores_gemma":[0.0001016192,0.00001443534,0.006237271,0.0007995261,0.0000324549,0.0001137075,0.00006644258,0.00009824252,0.0001976869,0.0009434012,0.9913713,0.00002401842],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002351512,0.0002881671,0.0001139983,0.00007988364,0.00003881873,0.00002220663,0.9963037,0.0002242459,0.002693828],"genre_scores_gemma":[0.0008709955,0.0003679509,0.0004378519,0.0001639359,0.00001619695,0.0001240394,0.9954622,0.00008378003,0.002473077],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1416717,"threshold_uncertainty_score":0.4739392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01866939390824253,"score_gpt":0.4283948064622983,"score_spread":0.4097254125540558,"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."}}