{"id":"W6886081256","doi":"10.14288/1.0413599","title":"Emergency department visits on Lunar New Year's Eve in Vancouver, Canada","year":2022,"lang":"en","type":"article","venue":"Open Collections","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Emergency department; MEDLINE; Work (physics); Emergency medical services; 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":[0.0002546136,0.0003277971,0.0004817204,0.001211279,0.008277377,0.002018978,0.00167815,0.001608595,0.01281433],"category_scores_gemma":[0.001457259,0.0004758491,0.0004817604,0.002385251,0.0008875461,0.0006205385,0.001863522,0.002864715,0.0008681836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03923037,"about_ca_system_score_gemma":0.04804646,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946791,"about_ca_topic_score_gemma":0.9990479,"domain_scores_codex":[0.9987954,0.00007939855,0.00004465837,0.00008441524,0.0002092424,0.0007869792],"domain_scores_gemma":[0.9974637,0.00007283929,0.000180825,0.00001844594,0.0007490056,0.001515141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003970693,0.0004198806,0.8085833,0.0003476524,0.0001801082,0.008604118,0.01042419,0.0005211291,0.0005026886,0.000647774,0.1344962,0.03487592],"study_design_scores_gemma":[0.00002843094,0.00004064354,0.9346978,0.0003605525,0.00002898978,0.0005940124,0.04885586,0.0001886901,0.00003926989,0.0001102762,0.01501102,0.00004450753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9228091,0.003348414,0.0001077886,0.01479455,0.0005833024,0.0002281057,0.008010667,0.00005944186,0.0500587],"genre_scores_gemma":[0.9662151,0.002901064,0.0001715314,0.003242961,0.0001605115,0.00006001333,0.002169495,0.00003277914,0.02504635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03923037,"threshold_uncertainty_score":0.2846376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03446045610811409,"score_gpt":0.2910751321787517,"score_spread":0.2566146760706376,"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."}}