{"id":"W4245549466","doi":"10.1515/iupac.88.1265","title":"Pulmonary","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":[0.00144201,0.001095416,0.001222657,0.002969157,0.0007819079,0.003515807,0.002127312,0.001521391,0.2482471],"category_scores_gemma":[0.01364355,0.000507675,0.001436109,0.005204129,0.0003689881,0.002882026,0.002226456,0.001437841,0.2516523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001378428,"about_ca_system_score_gemma":0.002744949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01170073,"about_ca_topic_score_gemma":0.02078724,"domain_scores_codex":[0.9976568,0.0004224668,0.0004462586,0.0007847989,0.000471768,0.0002178353],"domain_scores_gemma":[0.9950046,0.001341959,0.0005234369,0.001363635,0.001467632,0.0002988216],"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":[0.0001226699,0.00001592553,0.001525895,0.001469191,0.00003780631,0.00002899047,0.00003000796,0.0001220464,0.0001295041,0.001220034,0.9796519,0.01564607],"study_design_scores_gemma":[0.00007832096,0.00001147687,0.002443267,0.0007531195,0.00002142518,0.00006181186,0.00005428032,0.0001111082,0.000154232,0.001317537,0.9949768,0.0000165776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001683705,0.0002887979,0.000227369,0.0002368531,0.00009321111,0.00004923934,0.992392,0.0005343677,0.006009826],"genre_scores_gemma":[0.0007651369,0.0003272016,0.0005303752,0.0003900473,0.00003434274,0.0001560705,0.9933671,0.0001629407,0.004266714],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2482471,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01341018937997813,"score_gpt":0.4123056706808995,"score_spread":0.3988954813009214,"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."}}