{"id":"W2897953640","doi":"10.7939/r3kp7tz81","title":"Atmospheric risk factors of human mortality","year":2000,"lang":"en","type":"article","venue":"Library and Archives Canada (Government of Canada)","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005808953,0.0002671739,0.0002419761,0.001473671,0.001203828,0.0009701008,0.0004887361,0.0006565514,0.005413979],"category_scores_gemma":[0.002256847,0.0002471704,0.0006461162,0.002719833,0.0003495209,0.0002679364,0.0005200806,0.0009358641,0.0004500072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002561772,"about_ca_system_score_gemma":0.004945538,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7411014,"about_ca_topic_score_gemma":0.7479774,"domain_scores_codex":[0.9996738,0.00005773535,0.00002070421,0.00003591724,0.0001186903,0.00009304264],"domain_scores_gemma":[0.9981707,0.0003121403,0.0003301217,0.0001244765,0.0005570657,0.0005054429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001599144,0.0000469491,0.9880833,0.00003690022,0.0001807662,0.00007495836,0.0001044454,0.0007202779,0.0001788563,0.0008025,0.003847255,0.005763785],"study_design_scores_gemma":[0.000006237952,0.00001372164,0.9976786,0.0000138355,0.00004627139,0.00003273398,0.00007830389,0.0003158661,0.00002345414,0.0002747411,0.001510737,0.000005614695],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9325907,0.01248607,0.0006839241,0.005616037,0.0004671432,0.00004304347,0.0188025,0.0001915878,0.02911915],"genre_scores_gemma":[0.9889559,0.003538297,0.0003247718,0.0001549851,0.0005651576,0.00001812141,0.002844004,0.00002480372,0.003573962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7411014,"threshold_uncertainty_score":0.5208465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01074887497647998,"score_gpt":0.1896797963847218,"score_spread":0.1789309214082418,"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."}}