{"id":"W2022201065","doi":"10.1002/met.198","title":"Public perception of and response to severe weather warnings in Nova Scotia, Canada","year":2010,"lang":"en","type":"article","venue":"Meteorological Applications","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Nova scotia; Vulnerability (computing); Warning system; Nova (rocket); Social vulnerability; Geography; Perception; Social media; Political science; Psychology; Computer science; Aeronautics; Engineering; Computer security; Psychological intervention; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000662875,0.00005084158,0.00008438564,0.00006214447,0.0001062226,0.00002649507,0.0002188515,0.00005734249,0.0005130046],"category_scores_gemma":[0.0002480273,0.00004167954,0.00001322139,0.0003943664,0.0002034607,0.00006805129,0.00006498783,0.0001053809,0.00002305792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003251098,"about_ca_system_score_gemma":0.00009951113,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1948393,"about_ca_topic_score_gemma":0.8542978,"domain_scores_codex":[0.9992467,0.0001028516,0.0001232289,0.0001819841,0.0001757209,0.0001694983],"domain_scores_gemma":[0.9995504,0.0001440607,0.00003642097,0.0001268193,0.00004400125,0.00009828726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002625875,0.0004861217,0.514009,0.00002631442,0.00002074951,0.000004352527,0.01918981,0.00004064962,0.1058824,0.1417141,0.004653463,0.2137105],"study_design_scores_gemma":[0.0001542268,0.00004493953,0.804994,0.000002866846,0.000005672826,5.541261e-7,0.003777861,0.00003675643,0.00001709849,0.002288081,0.1885555,0.0001224237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734803,0.000005990558,0.0003291966,0.01121657,0.00002886039,0.0003547026,0.000003222252,0.00001597268,0.01456522],"genre_scores_gemma":[0.9971492,0.000002782369,0.001047623,0.0003509957,0.00002519672,0.00004990065,0.000001441574,0.000002457533,0.001370422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6594585,"threshold_uncertainty_score":0.8105223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02555171229604938,"score_gpt":0.2835700620128075,"score_spread":0.2580183497167582,"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."}}