{"id":"W2910964291","doi":"10.4095/215802","title":"Urban environment and human health in the Lower Mainland","year":2004,"lang":"en","type":"report","venue":"","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mainland; Human health; Geography; Business; Environmental health; Medicine; Archaeology","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":[0.0001493783,0.0001653222,0.0001037787,0.0009802468,0.0008875474,0.001213991,0.0002073591,0.000427312,0.005069987],"category_scores_gemma":[0.0002929187,0.000095638,0.0001095069,0.001421532,0.0004360593,0.0002873619,0.0007412869,0.0002591093,0.0004701221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002001069,"about_ca_system_score_gemma":0.001840541,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3056066,"about_ca_topic_score_gemma":0.5851474,"domain_scores_codex":[0.9998598,0.00003479682,0.000005809677,0.00001080945,0.00003462112,0.00005413467],"domain_scores_gemma":[0.9998609,0.00002317665,0.00002289615,0.000005323553,0.00003987562,0.0000477307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001081811,0.0003582747,0.6802204,0.0004374804,0.0001095462,0.002363148,0.006862487,0.002897963,0.002063278,0.01179054,0.06892066,0.2238681],"study_design_scores_gemma":[0.000004968652,0.00009416584,0.9252322,0.000192557,0.00001367088,0.0002781867,0.002446968,0.0002357443,0.0001846942,0.0007382962,0.07057115,0.000007434189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8018032,0.0380368,0.0003576208,0.01277577,0.0002189434,0.00008933813,0.003341682,0.00006389996,0.1433128],"genre_scores_gemma":[0.9379286,0.02128421,0.0005309699,0.00143937,0.0001530055,0.00007619888,0.002629083,0.00001298694,0.03594567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6943934,"threshold_uncertainty_score":0.6076555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08333592204234869,"score_gpt":0.3426096322032032,"score_spread":0.2592737101608545,"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."}}