{"id":"W4238020713","doi":"10.1515/iupac.81.0091","title":"Bayesian","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Computer science; Ecology; Biology; Data mining; Philosophy; Linguistics","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":[0.002100515,0.002373464,0.001561306,0.004327892,0.001314358,0.004992239,0.003665815,0.002654419,0.1955617],"category_scores_gemma":[0.01784988,0.0009268643,0.002214885,0.006624245,0.0005659374,0.004858127,0.002644978,0.002933024,0.3110328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002133224,"about_ca_system_score_gemma":0.003286185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02513671,"about_ca_topic_score_gemma":0.05058534,"domain_scores_codex":[0.9971086,0.0005337384,0.0002585688,0.001177764,0.0006129642,0.0003084111],"domain_scores_gemma":[0.9951175,0.001382044,0.0002592803,0.001579735,0.001411879,0.0002494591],"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":[0.00007579298,0.00002487759,0.001322336,0.0003412075,0.00003468014,0.0000208074,0.0000247111,0.0007267447,0.00005610872,0.002151412,0.9773449,0.01787632],"study_design_scores_gemma":[0.000131506,0.00002105661,0.001919018,0.0003841245,0.00003453951,0.0001165602,0.0001123006,0.003902648,0.0002927934,0.01652366,0.9765261,0.00003559793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005483872,0.0005461539,0.002945827,0.0007364803,0.0002404724,0.00008884652,0.9779534,0.003889282,0.01305113],"genre_scores_gemma":[0.001986276,0.0003509539,0.004291933,0.0003694252,0.00004977603,0.0001761336,0.9862304,0.0004887544,0.006056285],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8044382,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01359270032910266,"score_gpt":0.4114261156956344,"score_spread":0.3978334153665318,"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."}}