{"id":"W6963030529","doi":"10.17632/gc423hprcs","title":"Regulatory Compliance Ceiling Effect/Diminishing Returns, Regulatory Compliance and Quality Indicators Scales","year":2023,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compliance (psychology); Ceiling (cloud); Quality (philosophy); Scale (ratio); Consistency (knowledge bases); Predictive power; Ceiling effect","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":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","research_integrity"],"category_scores_codex":[0.01202493,0.001995212,0.003036776,0.0008963129,0.001099012,0.0007247077,0.008161845,0.001408131,0.00007945428],"category_scores_gemma":[0.00270331,0.002133251,0.0002334547,0.001810954,0.001729428,0.001559272,0.00860146,0.003259884,0.007642418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007740243,"about_ca_system_score_gemma":0.000463843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001051944,"about_ca_topic_score_gemma":0.002551634,"domain_scores_codex":[0.9850267,0.002461594,0.002529002,0.005012392,0.002961427,0.002008934],"domain_scores_gemma":[0.9791134,0.002115769,0.002691488,0.01496653,0.0001718628,0.0009409789],"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":[0.000227017,0.0001248541,0.001414275,0.004954108,0.0004611136,0.0001326902,0.00004287977,0.000008373245,0.0003734326,0.00004219545,0.9903631,0.001855982],"study_design_scores_gemma":[0.001891041,0.0001348755,0.03261764,0.006273697,0.0006039167,0.00007875088,0.0001725583,0.0003516986,0.0002561509,0.0001272704,0.9545743,0.002918139],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01065506,0.006393432,0.000009322738,0.00011484,0.001703028,0.001632268,0.9782686,0.001156204,0.00006726365],"genre_scores_gemma":[0.003282451,0.001203199,0.0007100802,0.0002580291,0.0009649877,0.0001367426,0.9926541,0.0005800875,0.0002103087],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03578882,"threshold_uncertainty_score":0.9998882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1916522797575967,"score_gpt":0.3940082864174128,"score_spread":0.2023560066598162,"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."}}