{"id":"W2167204512","doi":"10.1177/0020852313517995","title":"Regulation and time: temporal patterns in regulatory development","year":2014,"lang":"en","type":"article","venue":"International Review of Administrative Sciences","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Australian Government","keywords":"Jurisdiction; Dimension (graph theory); Process (computing); Economic geography; Biology; Economics; Political science; Computer science; Mathematics; Law","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":[0.0006953343,0.00007866387,0.0001480588,0.0001170567,0.00006942156,0.00005076484,0.0001654166,0.00001241286,0.0002327936],"category_scores_gemma":[0.0001431382,0.00006291644,0.0000235089,0.0001917502,0.0001631485,0.0004665528,0.00006372558,0.00002734909,0.00002600486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001425232,"about_ca_system_score_gemma":0.00003330392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001280759,"about_ca_topic_score_gemma":0.00003016575,"domain_scores_codex":[0.9990894,0.00001321496,0.0003154354,0.0001767949,0.0003301221,0.00007506328],"domain_scores_gemma":[0.999512,0.00003782756,0.000251237,0.00005613137,0.000136849,0.000006011541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001993298,0.000102312,0.5874041,0.001909097,0.00002897892,0.000001264219,0.0001236013,0.00001745991,0.0003016339,0.3195659,0.00233913,0.08818657],"study_design_scores_gemma":[0.0001335211,0.0000152252,0.9459614,0.002494536,0.000003927902,0.000001153808,0.00007359535,0.001338154,0.0001074501,0.003966385,0.04579786,0.0001068593],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8110736,0.002204212,0.0006417327,0.008898554,0.0003647695,0.0004295557,0.000002690286,0.00003530458,0.1763496],"genre_scores_gemma":[0.9981153,0.0001561072,0.0006096239,0.0007187728,0.00009421568,0.0000109827,0.00001001347,0.000002352276,0.0002826075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3585572,"threshold_uncertainty_score":0.2565658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05902889682349911,"score_gpt":0.3334015052856404,"score_spread":0.2743726084621413,"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."}}