{"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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00006411287,0.0001564709,0.0002982091,0.0003093106,0.000267048,0.000013512,0.0001749244,0.003947806,0.0004982681],"category_scores_gemma":[0.0001614197,0.0001325474,0.00011696,0.0006432231,0.0009017751,0.00003242613,0.00009331221,0.004890729,0.001090909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006440651,"about_ca_system_score_gemma":0.001036028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003287636,"about_ca_topic_score_gemma":0.000001078105,"domain_scores_codex":[0.9989395,0.00000972067,0.0001866115,0.000354183,0.0002681717,0.0002417977],"domain_scores_gemma":[0.9992291,0.00003017223,0.000069011,0.0004167672,0.00009462866,0.0001603011],"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":[0.00001531039,0.00009814031,0.00002920943,0.0002086251,0.0001125684,0.0001754402,0.00005696849,1.251819e-7,0.0000469287,0.1956735,0.7948071,0.008776129],"study_design_scores_gemma":[0.0003190446,0.0001164082,0.0008686471,0.0006952859,0.0003182981,0.0002903398,0.00004592106,0.000007781569,0.0003055,0.003348928,0.9935009,0.0001828918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.000227252,0.00442581,0.00005962992,0.03049619,0.0007691309,0.0001693443,0.0001237987,0.0003122655,0.9634166],"genre_scores_gemma":[0.142801,0.6555703,0.006751325,0.02322222,0.002445604,0.0001615685,0.003547213,0.0001782378,0.1653225],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7980941,"threshold_uncertainty_score":0.9996868,"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."}}