{"id":"W4231094520","doi":"10.1515/iupac.76.0254","title":"Incidence","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; Toxicokinetics; Hazard; Toxicology; Computer science; Environmental health; Medicine; Pharmacology; Chemistry; Biology; Linguistics; Philosophy","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":[0.001701972,0.001816209,0.001566203,0.005111052,0.0009335731,0.003842137,0.00278707,0.001972937,0.1636726],"category_scores_gemma":[0.01740669,0.0006807746,0.001766338,0.007760195,0.0004274118,0.003231182,0.002352509,0.002129165,0.1630218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001751792,"about_ca_system_score_gemma":0.002908637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01473084,"about_ca_topic_score_gemma":0.02476279,"domain_scores_codex":[0.9969,0.0005155865,0.0005949608,0.001090646,0.0006038916,0.0002949305],"domain_scores_gemma":[0.9935094,0.002201947,0.0008286503,0.001396612,0.00175002,0.0003133542],"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":[0.00007643076,0.00002118789,0.001863742,0.0009298105,0.00003437846,0.00002425713,0.00003485905,0.0001830755,0.00006085484,0.0009835515,0.9886162,0.007171657],"study_design_scores_gemma":[0.0001270158,0.00001864707,0.003967956,0.0007303065,0.00003914923,0.00009610868,0.000128753,0.0002872662,0.0001584427,0.002606962,0.9918061,0.00003309741],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001502997,0.0001325444,0.0001327346,0.0001084748,0.00004513452,0.00002929572,0.9976531,0.0002051129,0.001543315],"genre_scores_gemma":[0.0004817698,0.0001360289,0.0004410543,0.0001286632,0.000019284,0.0001873603,0.9970715,0.0000813851,0.001452883],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1636726,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01678615056746492,"score_gpt":0.4301397885366587,"score_spread":0.4133536379691938,"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."}}