{"id":"W4388659441","doi":"10.1007/s11069-023-06261-x","title":"Hazard experiences, concerns and responses in coastal municipalities and communities: insights from Nova Scotia, Canada","year":2023,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint Mary's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Hazard; Natural hazard; Environmental planning; Geography; Corporate governance; Socioeconomic status; Environmental resource management; Nova scotia; Socioeconomics; Business; Environmental health; Environmental science; Ecology; Sociology; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009699141,0.0002801226,0.0004010788,0.001434653,0.01978196,0.004295385,0.001116843,0.0007332461,0.002892201],"category_scores_gemma":[0.003087507,0.0003636802,0.0002804962,0.003541164,0.003535433,0.0009117424,0.004578209,0.00136716,0.0002185463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06422044,"about_ca_system_score_gemma":0.09387979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963761,"about_ca_topic_score_gemma":0.9991004,"domain_scores_codex":[0.9984707,0.0002869049,0.00004803111,0.00009181067,0.0002589734,0.0008434962],"domain_scores_gemma":[0.9965618,0.0004937306,0.000444896,0.00005948823,0.001076198,0.001363887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001376045,0.0001449134,0.2954616,0.0001997537,0.0000420086,0.002432032,0.6773134,0.0002819556,0.0005711565,0.00197441,0.006987532,0.01445364],"study_design_scores_gemma":[0.000003795777,0.00002022003,0.1194696,0.0001137602,0.000007409676,0.0000972869,0.8734602,0.00004724486,0.00003733831,0.00008341675,0.006643882,0.00001598707],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891649,0.0005334164,0.00005555319,0.001627901,0.00001840283,0.00005889877,0.0002972282,0.000003068823,0.00824058],"genre_scores_gemma":[0.9940309,0.0008782163,0.0001024767,0.0005032453,0.000004853469,0.00003143175,0.000142712,0.000005408945,0.004300764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06422044,"threshold_uncertainty_score":0.4659541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03242966068898694,"score_gpt":0.3114395218267037,"score_spread":0.2790098611377168,"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."}}