{"id":"W2157037176","doi":"","title":"Regulated Out of Existence: A Case Study of Ottawa's Ticket Defence Program","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Criminal Law and Evidence","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Ticket; License; Accountability; Context (archaeology); Political science; Legislature; Scope (computer science); Work (physics); Public administration; Service (business); Business; Public relations; Law; Engineering; Geography; Computer security","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":[0.002598667,0.0005708609,0.0005505809,0.00207459,0.03563735,0.004533237,0.003260374,0.005203436,0.003369044],"category_scores_gemma":[0.007102903,0.0008055899,0.0006519998,0.003848786,0.009850628,0.001769013,0.004712468,0.005433652,0.0002838506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07477862,"about_ca_system_score_gemma":0.05488522,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9338136,"about_ca_topic_score_gemma":0.9882261,"domain_scores_codex":[0.9940625,0.001835734,0.0002125051,0.0004598567,0.001179486,0.002249978],"domain_scores_gemma":[0.9935591,0.002269884,0.0008405524,0.0003881346,0.001127411,0.001814963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000126522,0.0005183078,0.1027109,0.0003252636,0.0000618162,0.05676024,0.7680631,0.0008637607,0.001292029,0.03945023,0.01106837,0.01875946],"study_design_scores_gemma":[0.00001633297,0.0001216095,0.05213829,0.0003970594,0.00005522956,0.005073738,0.8692735,0.0005765462,0.0005472803,0.0009812667,0.07073101,0.00008813689],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9626319,0.0008608209,0.0005660043,0.006715284,0.00007966824,0.0002205365,0.0001773283,0.000009732699,0.02873872],"genre_scores_gemma":[0.9830997,0.001178764,0.0006969508,0.001339503,0.00002567182,0.00009476491,0.00008558847,0.00001380498,0.01346536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07477862,"threshold_uncertainty_score":0.5425594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03108292642986622,"score_gpt":0.3518949880508556,"score_spread":0.3208120616209894,"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."}}