{"id":"W1517660171","doi":"10.1111/j.1754-7121.2010.00128.x","title":"Explaining local policy choices: A Multiple Streams analysis of municipal emergency management","year":2010,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Humanities; Political science; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003176064,0.0004214136,0.0005130018,0.002567625,0.002173507,0.004696825,0.001322855,0.001261138,0.01027213],"category_scores_gemma":[0.01303224,0.0003468193,0.0009810915,0.00407019,0.001947623,0.002624477,0.002180675,0.001270951,0.0003145654],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01810531,"about_ca_system_score_gemma":0.01106596,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4431971,"about_ca_topic_score_gemma":0.4208719,"domain_scores_codex":[0.9979683,0.001246339,0.00005202057,0.0001580043,0.0002323199,0.0003430857],"domain_scores_gemma":[0.9941725,0.004053437,0.0006442147,0.0001481486,0.0006103161,0.0003712647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000153175,0.0002539777,0.09338336,0.0003081835,0.0002286902,0.001016567,0.007788014,0.3431808,0.000309014,0.5061737,0.00857847,0.03862598],"study_design_scores_gemma":[0.00006354585,0.0001040259,0.03255723,0.0003117036,0.000215312,0.00008667104,0.02172667,0.6515799,0.0003103717,0.2611392,0.03181633,0.00008905062],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7967645,0.001204494,0.09097257,0.01829927,0.00009006233,0.0006643278,0.002844066,0.0002007515,0.08896007],"genre_scores_gemma":[0.9864526,0.0004378999,0.008407201,0.0001382548,0.00001751536,0.0001140041,0.0002630876,0.00002293193,0.004146329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9818947,"threshold_uncertainty_score":0.8812348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02226009307835419,"score_gpt":0.3131261037435956,"score_spread":0.2908660106652414,"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."}}