{"id":"W6997302976","doi":"","title":"Use of NEI & SPECIATE Data for Development of Regulatory Reporting Requirements for VOC in Canada","year":2023,"lang":"en","type":"article","venue":"Lincoln (University of Nebraska)","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Population; Public health","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":[],"consensus_categories":[],"category_scores_codex":[0.006153412,0.0004628832,0.0004389409,0.00714194,0.004681447,0.003762208,0.003030666,0.0007497061,0.007223648],"category_scores_gemma":[0.01915539,0.0004954077,0.0006472684,0.007025381,0.0006527692,0.0009492885,0.0009044472,0.001379782,0.001849579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06377518,"about_ca_system_score_gemma":0.1678672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944273,"about_ca_topic_score_gemma":0.9942703,"domain_scores_codex":[0.9873977,0.0006289148,0.0006165517,0.0005774123,0.009499243,0.001280224],"domain_scores_gemma":[0.9455981,0.002803171,0.001443526,0.00115935,0.04759286,0.001402908],"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":[0.0008551572,0.0005953227,0.195115,0.001042872,0.0002036584,0.0008634228,0.003871754,0.0200066,0.01719481,0.03628435,0.510592,0.213375],"study_design_scores_gemma":[0.0001081306,0.0001555778,0.3258838,0.0006705109,0.0001779086,0.0001358116,0.003863305,0.0137939,0.02693924,0.002045497,0.6259533,0.0002729768],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.1678065,0.001441874,0.02028535,0.006905591,0.0005587147,0.00306072,0.2366208,0.001896843,0.5614236],"genre_scores_gemma":[0.6575705,0.002610095,0.03526044,0.003470875,0.00006574312,0.001154549,0.1369535,0.0007555432,0.1621587],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.06377518,"threshold_uncertainty_score":0.4627235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1523062986855453,"score_gpt":0.2521422101195537,"score_spread":0.09983591143400838,"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."}}