{"id":"W4253469144","doi":"10.32388/mtjd4j","title":"Regulatory Science","year":2020,"lang":"en","type":"reference-entry","venue":"Definitions","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Quality (philosophy); Engineering ethics; Regulatory science; Computer science; Management science; Political science; Risk analysis (engineering); Data science; Business; Engineering; Epistemology; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0187371,0.001273686,0.001631003,0.004566276,0.003490478,0.01438493,0.004507019,0.01416878,0.1115886],"category_scores_gemma":[0.05172093,0.000629126,0.001262658,0.004623401,0.005036197,0.01018904,0.004359194,0.009282368,0.09424156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007589643,"about_ca_system_score_gemma":0.02622456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0112126,"about_ca_topic_score_gemma":0.009873373,"domain_scores_codex":[0.9634421,0.006736305,0.002430303,0.003353211,0.02260775,0.00143034],"domain_scores_gemma":[0.9666822,0.008052097,0.001144106,0.004326722,0.01884389,0.0009510722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001908066,0.00003624972,0.0001062388,0.0004927209,0.000007172534,0.0000666609,0.0002126497,0.0001988266,0.0003287558,0.4614517,0.4693103,0.06776959],"study_design_scores_gemma":[0.00000401438,0.000009591849,0.000057902,0.0003143773,0.000002533722,0.00003231678,0.00003527058,0.00004057242,0.0001226686,0.02019797,0.9791753,0.000007577826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003292332,0.007895865,0.007205582,0.02592464,0.006400095,0.0002604377,0.002079911,0.000569794,0.9493346],"genre_scores_gemma":[0.01970774,0.02080052,0.02360583,0.06291556,0.004744825,0.0009263461,0.007136231,0.0008727508,0.8592902],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1115886,"threshold_uncertainty_score":0.3733009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0609622501350528,"score_gpt":0.2773433794750921,"score_spread":0.2163811293400393,"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."}}