{"id":"W2086012822","doi":"10.1007/s11077-006-9008-5","title":"Self-Regulation as Policy Process: The Multiple and Criss-Crossing Stages of Private Rule-Making","year":2006,"lang":"en","type":"article","venue":"Policy Sciences","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":115,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Process (computing); Autonomy; Simplicity; Public policy; Identification (biology); Determinism; Law and economics; Policy studies; Coherence (philosophical gambling strategy); Public economics; Political science; Economics; Computer science; Law; Epistemology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003112373,0.0001082886,0.0001158333,0.000260198,0.00114365,0.0006769015,0.0002141714,0.00002025427,0.000006868775],"category_scores_gemma":[0.0002291593,0.00007170805,0.00002910881,0.001093558,0.0006357026,0.0009069413,0.0001095917,0.00003508553,0.000009866168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001340874,"about_ca_system_score_gemma":0.00006899016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001826854,"about_ca_topic_score_gemma":0.00008954091,"domain_scores_codex":[0.9990655,0.000008789721,0.0002060332,0.0001985326,0.0002899066,0.0002312051],"domain_scores_gemma":[0.9994798,0.00005572057,0.0002539713,0.0001035405,0.0001016381,0.000005270087],"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":[0.000007694973,0.00003445675,0.4713925,0.0001727942,0.00001000882,2.381646e-7,0.000860004,0.001474037,0.001018978,0.517703,0.0001358458,0.007190362],"study_design_scores_gemma":[0.0001899139,0.000007141221,0.7559101,0.00005920586,0.00001143073,0.000001340407,0.0006931047,0.01208351,0.0004829695,0.2258938,0.004524057,0.000143395],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9646878,0.0001735827,0.00009898419,0.006559707,0.00004764869,0.0001592073,8.767646e-7,0.00007986606,0.02819236],"genre_scores_gemma":[0.9980378,0.000005086581,0.0003651111,0.0005869356,0.0008585452,0.000007797775,7.959005e-7,0.000005915177,0.0001320067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2918092,"threshold_uncertainty_score":0.8796149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02528470016638083,"score_gpt":0.3156833369638968,"score_spread":0.2903986367975159,"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."}}