{"id":"W6902419095","doi":"10.6084/m9.figshare.c.3595715_d1","title":"Additional file 1: of Identifying potential exposure reduction priorities using regional rankings based on emissions of known and suspected carcinogens to outdoor air in Canada","year":2015,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Algebra and Geometry","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reduction (mathematics); Air pollution; Risk assessment; Exposure assessment","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008841184,0.0008183261,0.0006962077,0.002462551,0.001385371,0.001604804,0.001440087,0.0005459795,0.7003816],"category_scores_gemma":[0.0153737,0.0004316657,0.001157753,0.005192944,0.0002914428,0.001000685,0.000861377,0.0006799019,0.06583975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006225147,"about_ca_system_score_gemma":0.01190292,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.789277,"about_ca_topic_score_gemma":0.8610948,"domain_scores_codex":[0.9994063,0.00006757085,0.00005863742,0.00009051677,0.0002260932,0.0001508383],"domain_scores_gemma":[0.9906982,0.003949613,0.0003577013,0.0004084216,0.004301164,0.0002848233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00009458423,0.00003954573,0.004923602,0.0008189913,0.00003114052,0.0000345479,0.00009757706,0.0009899538,0.00004115436,0.0007618387,0.9835365,0.008630647],"study_design_scores_gemma":[0.001741915,0.0000984604,0.1004123,0.002082516,0.0002011049,0.0001510482,0.002220499,0.005417937,0.001017825,0.004904244,0.8815992,0.0001529891],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0004506111,0.00001164338,0.000162294,0.00009643816,0.0000137526,0.00007148444,0.99568,0.0001131315,0.003400633],"genre_scores_gemma":[0.03356104,0.0002595755,0.006446708,0.0003505006,0.00004919902,0.001532786,0.91843,0.0006164056,0.03875374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7003816,"threshold_uncertainty_score":0.4273692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08051849627040268,"score_gpt":0.2835417984718503,"score_spread":0.2030233022014476,"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."}}