{"id":"W4413862731","doi":"10.36948/ijfmr.2025.v07i04.54908","title":"Clinical Investigations of High-Risk Medical Devices in India, Germany and Canada","year":2025,"lang":"en","type":"article","venue":"International Journal For Multidisciplinary Research","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0116792,0.00009283871,0.000301142,0.0004956664,0.0009531916,0.00001497755,0.0006285178,0.0002804078,0.0001326752],"category_scores_gemma":[0.007252301,0.00008010611,0.00006312157,0.000262584,0.0003305359,0.000140121,0.0005103768,0.002671408,0.000004224071],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004681605,"about_ca_system_score_gemma":0.008324102,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.359394,"about_ca_topic_score_gemma":0.7645314,"domain_scores_codex":[0.9942085,0.002356707,0.001517268,0.0002384847,0.001248887,0.0004302025],"domain_scores_gemma":[0.9864511,0.01120992,0.0003062413,0.0001591177,0.001548292,0.0003252671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003417637,0.0001063087,0.9693471,0.0002222482,0.00008664824,0.00004599681,0.001204114,0.00001508109,0.000003950639,0.01550445,0.005832743,0.007289569],"study_design_scores_gemma":[0.001827845,0.00009425611,0.9549617,0.001156648,0.000006551924,0.000008204194,0.005222321,0.001743352,0.000005522524,0.02684632,0.008059349,0.00006796855],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9453989,0.0002941608,0.0001506757,0.0502305,0.002589748,0.0005419823,0.0002190621,0.000006193621,0.0005688205],"genre_scores_gemma":[0.9959641,0.001135273,0.0007867665,0.0006228366,0.0005436685,0.00008633496,0.00003489719,0.000009421328,0.0008167333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4051374,"threshold_uncertainty_score":0.9996295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2040830958912971,"score_gpt":0.6104911931087901,"score_spread":0.4064080972174929,"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."}}