{"id":"W1987661036","doi":"10.1177/0276146707300066","title":"Processual Learning, Environmental Pluralism, and Inherent Challenges of Managing a Socioeconomic Crisis: The Case of the Canadian Mad Cow Crisis","year":2007,"lang":"en","type":"article","venue":"Journal of Macromarketing","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Regina","funders":"","keywords":"Crisis management; Socioeconomic status; Bovine spongiform encephalopathy; Pluralism (philosophy); Risk management; Politics; Business; Public relations; Political science; Environmental health; Law; Disease; Medicine; Population","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":[0.003864369,0.00008155595,0.0001521465,0.0000919915,0.000587785,0.00005607236,0.0003200576,0.00004580376,0.0000638476],"category_scores_gemma":[0.00008523837,0.00005216691,0.00008562845,0.00006398203,0.0003148341,0.0001621942,0.00009384056,0.0002162947,6.177313e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001160986,"about_ca_system_score_gemma":0.00009953554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01472648,"about_ca_topic_score_gemma":0.198135,"domain_scores_codex":[0.9987742,0.00027222,0.000373871,0.00009702699,0.0002384155,0.0002443137],"domain_scores_gemma":[0.9989939,0.000173668,0.000625473,0.00007806586,0.00003344917,0.00009542183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003033401,0.0002355841,0.2052281,0.0005867757,0.0006095247,0.0008375149,0.5618904,0.0002886657,0.0005538928,0.006449576,0.00685351,0.2161631],"study_design_scores_gemma":[0.000339186,0.00006477947,0.0627047,0.0001201237,0.00007866675,0.0001148935,0.9308193,0.00006043316,0.0001015222,0.0005185671,0.004961162,0.0001166106],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814208,0.001862666,0.000003147198,0.009102154,0.0001302047,0.0001143401,0.000001333311,0.000002428589,0.007362987],"genre_scores_gemma":[0.9989743,0.0006386437,0.00003509707,0.0001152028,0.00008775928,6.842343e-7,6.320013e-8,0.000006408754,0.0001418437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.368929,"threshold_uncertainty_score":0.9918345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186443016371045,"score_gpt":0.2680757018012296,"score_spread":0.2562112716375192,"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."}}