{"id":"W2227159011","doi":"","title":"Coercive Relief - Reflections on Supervision and Enforcement Constraints","year":2014,"lang":"en","type":"article","venue":"UWA Profiles and Research Repository (University of Western Australia)","topic":"Legal principles and applications","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Enforcement; Scope (computer science); Remedial education; Orthodoxy; Preference; Law and economics; Political science; Law enforcement; Empirical research; Law; Business; Economics; Computer science; Geography","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006814676,0.00006438268,0.0001110745,0.00008514288,0.00149538,0.00007240783,0.0001635836,0.00009640859,0.000081262],"category_scores_gemma":[0.0000292031,0.00006655521,0.00003114161,0.0001394616,0.001289243,0.0001515409,0.0001141086,0.0002142806,0.00001563588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005106174,"about_ca_system_score_gemma":0.00006172509,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008191154,"about_ca_topic_score_gemma":0.0003115214,"domain_scores_codex":[0.998796,0.0002539449,0.00009120497,0.0002386629,0.0003863137,0.0002338342],"domain_scores_gemma":[0.9993119,0.0001381534,0.00005008528,0.0001557768,0.0001570192,0.0001871249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001858454,0.0003697163,0.03278034,0.0002265439,0.00009275405,0.00002989497,0.03892314,0.00002187015,0.02666829,0.8848571,0.004062232,0.01178227],"study_design_scores_gemma":[0.00209788,0.002004471,0.1861556,0.0005797425,0.00008337279,0.00002656225,0.1217169,0.000321066,0.01319009,0.00379664,0.6693585,0.0006691832],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9457549,0.00001595101,0.0001035343,0.001775059,0.00004777543,0.0003323366,0.00001120898,0.00002433437,0.05193483],"genre_scores_gemma":[0.9803535,0.0001976719,0.0002335557,0.00001221259,0.00006993196,0.000001361769,0.000003725901,0.000003782225,0.0191243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8810605,"threshold_uncertainty_score":0.9998046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1385218360534975,"score_gpt":0.4004734201286882,"score_spread":0.2619515840751907,"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."}}