{"id":"W7070687266","doi":"","title":"In Pursuit of Regulatory Excellence","year":2018,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Excellence; Transformative learning; Regulatory reform; Regulatory state; Quality (philosophy); Regulatory science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03357971,0.0009808751,0.001242908,0.001886931,0.01189737,0.03081309,0.002487693,0.01738105,0.01451294],"category_scores_gemma":[0.0699428,0.0005461289,0.001093008,0.001848884,0.04019818,0.02259472,0.01585018,0.02391342,0.008764337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009845662,"about_ca_system_score_gemma":0.02910225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003086454,"about_ca_topic_score_gemma":0.003825868,"domain_scores_codex":[0.9334192,0.02914443,0.002968974,0.008784061,0.01982804,0.005855198],"domain_scores_gemma":[0.9627057,0.01607059,0.002808958,0.004867554,0.009059843,0.00448734],"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":[0.000007715347,0.00001310616,0.0001250559,0.0001121392,0.000008543223,0.00006121825,0.002454118,0.00007253462,0.00009343468,0.8598648,0.1253715,0.01181586],"study_design_scores_gemma":[0.000009616107,0.00002034457,0.00014085,0.0003047891,0.000005671984,0.0001117413,0.001539019,0.00007779408,0.0001407405,0.1233283,0.8743056,0.00001566649],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002074567,0.02096187,0.01027055,0.3830657,0.01236959,0.0001249026,0.00006195345,0.0002417598,0.5708292],"genre_scores_gemma":[0.1998615,0.01881764,0.01021827,0.4323649,0.01427406,0.0005671901,0.0001809737,0.0004786579,0.3232369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03357971,"threshold_uncertainty_score":0.1775886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01915857724243206,"score_gpt":0.3019205841941804,"score_spread":0.2827620069517484,"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."}}