{"id":"W2390982960","doi":"","title":"Impacts of ice disaster on health and daily life of residents","year":2010,"lang":"en","type":"article","venue":"Chinese Journal of Public Health","topic":"Safety and Risk Management","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Quarter (Canadian coin); Environmental health; Population; Medical emergency; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003628285,0.0001703691,0.0005697177,0.0006063796,0.0001300598,0.00009432415,0.0003070774,0.00005226803,0.00006428592],"category_scores_gemma":[0.001498647,0.0001086287,0.0001058864,0.000504982,0.00007827081,0.001059487,0.0001358095,0.0003779748,0.000007122972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003310632,"about_ca_system_score_gemma":0.0004546251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001539017,"about_ca_topic_score_gemma":0.0005812204,"domain_scores_codex":[0.9978626,0.00006071337,0.001047357,0.0001417473,0.0005376625,0.0003498912],"domain_scores_gemma":[0.9969849,0.0001255312,0.002134688,0.0002542147,0.0002983432,0.0002023138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005329225,0.001509647,0.8070233,0.005814097,0.0002904234,0.00001519468,0.003396635,0.00004692632,0.0002841991,0.02423606,0.04719637,0.1096541],"study_design_scores_gemma":[0.001858375,0.0003675775,0.9763276,0.0003128482,0.00001330658,0.000009560962,0.0008767978,0.0001631525,0.000002403381,0.002258613,0.01767561,0.0001341583],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9495497,0.0005445533,0.0001886584,0.04758631,0.0007816093,0.0001818372,0.000003491038,0.000009957214,0.001153899],"genre_scores_gemma":[0.9909012,0.0005402568,0.0002098342,0.007297243,0.0009912056,6.808864e-7,0.00000469998,0.00001856998,0.00003632537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1693042,"threshold_uncertainty_score":0.4429751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03067165656164518,"score_gpt":0.3040754651642195,"score_spread":0.2734038086025743,"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."}}