{"id":"W7075286901","doi":"","title":"Counting Every Death When Every Death Counts: A Mixed-Methods Study of Hurricane Michael Excess Mortality","year":2023,"lang":"en","type":"dissertation","venue":"Digital Commons - University of South Florida (University of South Florida)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Mortality rate; Bay; Excess mortality; Population; Cause of death; Public health; Health statistics","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":[0.01422477,0.0009156901,0.0006289719,0.000847941,0.001177127,0.0009004312,0.001635932,0.001106558,0.00217255],"category_scores_gemma":[0.02119763,0.0006258535,0.003001709,0.0006640311,0.0004620987,0.0007715384,0.001020067,0.001353032,0.000332845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001072273,"about_ca_system_score_gemma":0.001374044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01897824,"about_ca_topic_score_gemma":0.02246365,"domain_scores_codex":[0.9914892,0.006535312,0.0003693154,0.0008127988,0.0004404015,0.0003529778],"domain_scores_gemma":[0.9888105,0.006954391,0.001707987,0.001342855,0.0008884309,0.0002957935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008209755,0.007206851,0.8999918,0.0008750646,0.007163488,0.0006916152,0.005600732,0.00414865,0.0009733317,0.00346614,0.00405099,0.05762158],"study_design_scores_gemma":[0.002623659,0.02375025,0.8014612,0.0009464404,0.007629241,0.001170712,0.01433838,0.1252662,0.002349851,0.007344709,0.01264258,0.0004768167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986371,0.0009301506,0.01004829,0.0003779156,0.00009507308,0.0009270383,0.0007319457,0.00003283881,0.0004856349],"genre_scores_gemma":[0.9764504,0.0003701159,0.01764172,0.0005861355,0.00009827927,0.002489058,0.0010824,0.00001621251,0.001265723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01897824,"threshold_uncertainty_score":0.07522863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05517247481795672,"score_gpt":0.2467513128867065,"score_spread":0.1915788380687498,"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."}}