{"id":"W7053034486","doi":"","title":"A Taxonomy of Lawyer Regulation","year":2014,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Magneto-Optical Properties and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Craft; Order (exchange); Taxonomy (biology); State (computer science); Regulatory state; Common law; Quality (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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002167505,0.0001113502,0.0002030636,0.00009556958,0.0001156427,0.000007973899,0.000271085,0.0001230992,0.0008436168],"category_scores_gemma":[0.00002782253,0.0001319828,0.0001000504,0.0002076062,0.0001256284,0.0002539924,0.00008171116,0.0001593973,0.0001183831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004130833,"about_ca_system_score_gemma":0.00001033127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002491026,"about_ca_topic_score_gemma":0.00002830886,"domain_scores_codex":[0.9992977,0.00003703743,0.0001520198,0.000164272,0.0001730667,0.0001759153],"domain_scores_gemma":[0.9993619,0.00005060606,0.0000672337,0.0003430593,0.0000794118,0.00009782258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005496705,0.0005841081,0.1219474,0.001913473,0.0005619264,0.000007202518,0.003001436,0.03860764,0.5708793,0.1546303,0.008805217,0.09851232],"study_design_scores_gemma":[0.002796452,0.0003193898,0.3955349,0.0001989409,0.0002364106,0.000008775953,0.000718786,0.05674616,0.04365037,0.00408797,0.4946852,0.001016628],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9553864,0.00006450769,0.006948791,0.0002038798,0.00005203812,0.0002023653,0.00001490672,0.0001000822,0.037027],"genre_scores_gemma":[0.9947192,0.00001011339,0.003362339,0.00001729628,0.00003312404,0.000001062392,0.0000130777,0.00001490403,0.001828892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5272289,"threshold_uncertainty_score":0.9237012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01761557778070736,"score_gpt":0.1702594933156457,"score_spread":0.1526439155349383,"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."}}