{"id":"W4245440845","doi":"10.1515/iupac.88.1208","title":"Pleura","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001807589,0.001402724,0.001352043,0.005747507,0.000906818,0.00451278,0.002174754,0.001468479,0.2724924],"category_scores_gemma":[0.01805123,0.0007260138,0.001777336,0.008360743,0.0004429553,0.004153318,0.002713589,0.00206954,0.2784569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001846823,"about_ca_system_score_gemma":0.003292618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0124016,"about_ca_topic_score_gemma":0.02070671,"domain_scores_codex":[0.9974616,0.0004853778,0.0005253153,0.0007564413,0.0005209802,0.0002503006],"domain_scores_gemma":[0.9925262,0.002346584,0.0007760442,0.001767225,0.00214037,0.0004435463],"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":[0.00007285891,0.00001150066,0.0009751102,0.001088211,0.00003126355,0.00001957361,0.00002765687,0.0001203887,0.00007474751,0.001103932,0.9875221,0.00895277],"study_design_scores_gemma":[0.00005853101,0.000008771955,0.001887774,0.0006477257,0.00001975338,0.00004730227,0.00005721327,0.0001080774,0.00009418203,0.001171259,0.9958846,0.00001473737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000123505,0.0002685367,0.000201856,0.0002489731,0.00012023,0.00003813145,0.994003,0.0005781135,0.004417622],"genre_scores_gemma":[0.0004980882,0.0003353254,0.000581744,0.0003732508,0.00004920818,0.0001738659,0.993975,0.0002460998,0.003767382],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7275076,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490308026652315,"score_gpt":0.3965015236691918,"score_spread":0.3815984434026687,"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."}}