{"id":"W3084242573","doi":"10.1080/03003930.2020.1816545","title":"The sources of municipalities’ innovation in the management of weather disaster risks, their relationships, and their antecedents","year":2020,"lang":"en","type":"article","venue":"Local Government Studies","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Business; Incentive; Complementarity (molecular biology); Vulnerability (computing); Emergency management; Survey data collection; Environmental planning; Public relations; Political science; Economic growth; Economics; Geography","routes":{"ca_aff":false,"ca_fund":true,"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":[0.004046171,0.0002262609,0.0004245421,0.003382076,0.002204194,0.003893182,0.0006499537,0.0007491541,0.003598263],"category_scores_gemma":[0.02918678,0.0002978071,0.0003865206,0.004776163,0.002961675,0.001678621,0.004610436,0.001256741,0.0001863084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006509377,"about_ca_system_score_gemma":0.007029923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06407127,"about_ca_topic_score_gemma":0.08477186,"domain_scores_codex":[0.9948337,0.002503289,0.0002782868,0.0003853375,0.001052239,0.0009470122],"domain_scores_gemma":[0.9492818,0.03101148,0.01095782,0.002005835,0.00341656,0.003326501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000124173,0.0003250801,0.8928885,0.0001991873,0.0001507207,0.0007635527,0.06661633,0.0009432161,0.0005407892,0.00944956,0.0005242291,0.02747461],"study_design_scores_gemma":[0.00001274798,0.0000716928,0.8736576,0.000201081,0.00006756912,0.0002179854,0.1151427,0.0009537082,0.0002830024,0.003001992,0.00635363,0.00003629786],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888953,0.000252257,0.0004522096,0.0007384213,0.000006536287,0.00003163859,0.00009721646,0.000007859591,0.009518496],"genre_scores_gemma":[0.9993619,0.0001182022,0.0001508657,0.00001203199,0.000003306606,0.00001212478,0.00002712023,0.000002537282,0.0003118409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06407127,"threshold_uncertainty_score":0.1273966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09732121460403559,"score_gpt":0.3227952100785406,"score_spread":0.225473995474505,"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."}}