{"id":"W2259925492","doi":"","title":"Noninstitutional commercial review boards in North America: a critical appraisal and comparison with IRBs.","year":2003,"lang":"en","type":"article","venue":"PubMed","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Political science; Independence (probability theory); Public administration; Accounting; Public relations; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3129108,0.0005297011,0.001166536,0.0187502,0.006134265,0.007224855,0.001960336,0.002417441,0.002579014],"category_scores_gemma":[0.6103662,0.0006824294,0.0009661199,0.01819459,0.005396333,0.004508812,0.003259018,0.002473615,0.0004386437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01773353,"about_ca_system_score_gemma":0.04424827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0128276,"about_ca_topic_score_gemma":0.02809708,"domain_scores_codex":[0.5734358,0.3383257,0.03314914,0.004665537,0.04585349,0.004570294],"domain_scores_gemma":[0.1772384,0.53079,0.09420899,0.009096915,0.1789443,0.009721207],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002201798,0.0005077839,0.2206137,0.02279717,0.001200355,0.0009946232,0.1889399,0.0003208719,0.0008247753,0.02556311,0.07063714,0.4653988],"study_design_scores_gemma":[0.0007393364,0.001513124,0.4740875,0.04494955,0.001276536,0.001221869,0.2128254,0.001125866,0.001098825,0.007532764,0.2534096,0.0002196144],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.404567,0.3996979,0.0145572,0.1061896,0.006698492,0.0195991,0.0009505557,0.0001474971,0.04759264],"genre_scores_gemma":[0.9148487,0.04883405,0.01125305,0.01121059,0.001439189,0.009476768,0.0004856975,0.00007328755,0.002378779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9975826,"threshold_uncertainty_score":0.8473033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3342561628030586,"score_gpt":0.5276233231085642,"score_spread":0.1933671603055055,"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."}}