{"id":"W4251322551","doi":"10.1515/iupac.88.1209","title":"Pleural Cavity","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","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":[0.0009562565,0.000972858,0.001348337,0.002668319,0.0005741537,0.00220169,0.001417239,0.001028031,0.1293702],"category_scores_gemma":[0.01005106,0.0004097114,0.001464174,0.003193345,0.0003457323,0.002114887,0.001710945,0.001366286,0.07821083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000806155,"about_ca_system_score_gemma":0.001913288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005602784,"about_ca_topic_score_gemma":0.009467317,"domain_scores_codex":[0.9989539,0.0001775464,0.0002798476,0.0003123143,0.0001867427,0.00008964056],"domain_scores_gemma":[0.996135,0.001430484,0.0006704736,0.0008522168,0.0007134302,0.0001984288],"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":[0.000403146,0.00002051585,0.006025568,0.005557341,0.000157492,0.0002525192,0.00005638765,0.0003668502,0.0003412003,0.001626128,0.9360148,0.04917812],"study_design_scores_gemma":[0.0001833371,0.00003001285,0.01241532,0.003121011,0.0001212537,0.001165412,0.0001037966,0.0002620976,0.0003688936,0.00327245,0.9789131,0.00004335151],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008094751,0.002036373,0.0007944386,0.0002911471,0.0001715807,0.0001203788,0.9858672,0.0005837004,0.009325762],"genre_scores_gemma":[0.005176494,0.002323718,0.002111298,0.0006981273,0.0001125697,0.0004251435,0.9844794,0.0002423696,0.004431014],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1293702,"threshold_uncertainty_score":0.4327866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01588259557055407,"score_gpt":0.4298993204424849,"score_spread":0.4140167248719309,"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."}}