{"id":"W1978506782","doi":"10.1287/orsc.2014.0959","title":"Filtering Institutional Logics: Community Logic Variation and Differential Responses to the Institutional Complexity of Toxic Waste","year":2015,"lang":"en","type":"article","venue":"Organization Science","topic":"Public Policy and Administration Research","field":"Social Sciences","cited_by":320,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Institutional logic; Institutional theory; Field (mathematics); Organizational ecology; Competition (biology); Organizational field; Sociology; Business; Public relations; Political science; Social science; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.005702827,0.0001685944,0.0003457705,0.001745533,0.001152815,0.002281799,0.0006620403,0.000735288,0.002845728],"category_scores_gemma":[0.03283287,0.0002367711,0.0002936583,0.001460297,0.002646065,0.001375224,0.003038268,0.0006848293,0.0001344209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001751829,"about_ca_system_score_gemma":0.001001884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009418366,"about_ca_topic_score_gemma":0.01498415,"domain_scores_codex":[0.9928924,0.003900493,0.0002916789,0.001122783,0.001014693,0.0007780063],"domain_scores_gemma":[0.9617115,0.02102672,0.009919497,0.003221858,0.002380038,0.001740402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003385111,0.0002814678,0.9592879,0.00005765337,0.0001720645,0.0001090231,0.01269129,0.0008383737,0.003684253,0.002786771,0.0002123853,0.01954048],"study_design_scores_gemma":[0.00001474612,0.0001188929,0.9775615,0.00002120774,0.00003048168,0.00005670325,0.01521121,0.001992467,0.0006119985,0.00361124,0.0007426551,0.00002675554],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976204,0.00003052387,0.001120271,0.00009136214,0.000002082062,0.00001764337,0.00003311373,0.0000045972,0.001079941],"genre_scores_gemma":[0.9996079,0.000007191432,0.000253906,0.00002129768,0.000001785707,0.000007177037,0.00002734071,0.000002135469,0.0000713305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009418366,"threshold_uncertainty_score":0.03015977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2654192783611509,"score_gpt":0.4120951905648682,"score_spread":0.1466759122037173,"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."}}