{"id":"W2531144783","doi":"10.1057/978-1-137-55582-3_2","title":"Peeling a Charley: Evolution of Public Opinion","year":2016,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan UK eBooks","topic":"Law in Society and Culture","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distrust; Skepticism; Public opinion; Law enforcement; Enforcement; Variety (cybernetics); Law; Political science; Sociology; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"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":[0.004532647,0.0002300334,0.0001976385,0.001292871,0.004677174,0.008737492,0.000609965,0.002136958,0.006378174],"category_scores_gemma":[0.005997606,0.0001887544,0.0001716722,0.001893279,0.01447427,0.005925078,0.002157324,0.003387864,0.0009969757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007284455,"about_ca_system_score_gemma":0.002984872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009600027,"about_ca_topic_score_gemma":0.008273574,"domain_scores_codex":[0.9969935,0.001684735,0.00005810942,0.0002882031,0.0006860988,0.0002892604],"domain_scores_gemma":[0.9972392,0.00191966,0.0001548112,0.0001233433,0.0004231225,0.0001398935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001750427,0.00001503477,0.0004861593,0.00006561658,0.000003740958,0.0002560637,0.1033594,0.0001063278,0.0002655655,0.8272848,0.02557985,0.04256001],"study_design_scores_gemma":[0.000007399547,0.00002111589,0.001405615,0.0003018107,0.000003795001,0.0001512458,0.03535638,0.0001775262,0.0003040626,0.1591206,0.8031312,0.0000192571],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04091099,0.01778542,0.002853672,0.0690873,0.001228332,0.00002078653,0.00005949879,0.00005317871,0.8680008],"genre_scores_gemma":[0.8749793,0.008381371,0.000930005,0.007346796,0.0008141482,0.00002746976,0.00005666913,0.000100596,0.1073637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009600027,"threshold_uncertainty_score":0.05285263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03728415950153306,"score_gpt":0.2751769087735076,"score_spread":0.2378927492719746,"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."}}