{"id":"W4239989739","doi":"10.1515/iupac.79.1094","title":"Cumulative Incidence Rate","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemical Safety and Risk Management","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Hazard; Computer science; Toxicology; Chemistry; Philosophy; Biology; 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":[0.002818786,0.001322604,0.002644409,0.006675774,0.0004234124,0.002633144,0.002712616,0.001652557,0.07080752],"category_scores_gemma":[0.0255968,0.0005507295,0.003618014,0.01031646,0.0003411726,0.002147535,0.001189852,0.002741937,0.04976556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001942682,"about_ca_system_score_gemma":0.002462744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0181184,"about_ca_topic_score_gemma":0.01656142,"domain_scores_codex":[0.9955785,0.0006652648,0.001072513,0.001568243,0.0008280353,0.0002873957],"domain_scores_gemma":[0.99027,0.00369707,0.001690898,0.001540944,0.002457268,0.0003437483],"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":[0.0004325061,0.00006199304,0.02084741,0.003578414,0.0007035489,0.00007255784,0.00004420988,0.002206907,0.00007577075,0.002100994,0.9468438,0.02303188],"study_design_scores_gemma":[0.001056736,0.000133132,0.0441069,0.002108657,0.0008161944,0.0005762873,0.000145334,0.002604042,0.0003891691,0.00579537,0.9421235,0.0001446996],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006377521,0.0005645562,0.0002899867,0.0001308749,0.00008053599,0.00005892583,0.9963143,0.0001773884,0.00174558],"genre_scores_gemma":[0.005182339,0.001019384,0.000823318,0.000253502,0.0001232538,0.0005237042,0.989057,0.0001305991,0.002886934],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9291925,"threshold_uncertainty_score":0.2368748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01294233124430518,"score_gpt":0.3694635031033686,"score_spread":0.3565211718590635,"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."}}