{"id":"W7024798424","doi":"","title":"Smoke from Canada wildfires increasing health risks in Black and poorer US communities","year":2023,"lang":"en","type":"other","venue":"","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Smoke; Air pollution; Human health; Public health; Poison control","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002350475,0.0002032594,0.0003010542,0.0001937839,0.00009958554,0.000108036,0.0007106175,0.0001003431,0.0001016897],"category_scores_gemma":[0.00003699923,0.0001973508,0.0000171384,0.0002376506,0.00007621154,0.00004250766,0.000411179,0.0004370139,0.00001975536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001693949,"about_ca_system_score_gemma":0.0004475502,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999976,"about_ca_topic_score_gemma":0.9986541,"domain_scores_codex":[0.9987295,0.0002785804,0.000216995,0.000299573,0.000214984,0.0002604107],"domain_scores_gemma":[0.9985093,0.000472974,0.0001591556,0.0007399332,0.00001040743,0.0001082004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[7.016479e-7,0.000009206438,0.9900056,0.00001504909,0.00001504292,0.000003029416,0.0005292811,0.00005575958,1.831879e-7,0.000781246,0.001965827,0.006619054],"study_design_scores_gemma":[0.0001384257,0.000007138672,0.9841096,0.0001692497,0.000002091345,0.000001225013,0.000113931,0.01272538,3.726198e-7,0.0002067953,0.002339859,0.0001859198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9645142,0.0002583067,0.0001043878,0.002854408,0.0001080896,0.0002352722,0.00006232501,0.0005820964,0.03128092],"genre_scores_gemma":[0.9883665,0.0002025161,0.009288416,0.001270689,0.00005747843,0.00001991715,0.00003629101,0.0001976249,0.0005605049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03072041,"threshold_uncertainty_score":0.8047733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03799644492927861,"score_gpt":0.3071918132148642,"score_spread":0.2691953682855856,"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."}}