{"id":"W7014651066","doi":"","title":"Protecting Human Research Subjects: Case Based Learning for Canadian Research Ethics Boards and Researchers","year":2000,"lang":"en","type":"other","venue":"DigitalGeorgetown (Georgetown University Library)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Research ethics; Human research; Information ethics; Human rights; Government (linguistics); Qualitative research","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","bibliometrics","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.01080318,0.001454433,0.001453517,0.01498602,0.009524779,0.002292858,0.002608451,0.003603019,0.003928601],"category_scores_gemma":[0.004615371,0.001771944,0.0005173763,0.007599426,0.004266227,0.002364109,0.001422096,0.01694327,0.0008245439],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001800585,"about_ca_system_score_gemma":0.01032275,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2509485,"about_ca_topic_score_gemma":0.2051472,"domain_scores_codex":[0.9783579,0.008160284,0.0007881763,0.00347721,0.003440402,0.005776023],"domain_scores_gemma":[0.9876057,0.005237177,0.0004120468,0.002101366,0.0009404686,0.003703277],"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":[0.0006928753,0.0002457146,0.001583583,0.00129735,0.0004055294,0.01096994,0.001752706,0.00003638955,0.0001215813,0.002781267,0.9771202,0.002992896],"study_design_scores_gemma":[0.00242732,0.0007684247,0.00007274839,0.00134873,0.00007711713,0.0001626384,0.005395336,0.0002536845,0.0003709368,0.0008922291,0.9864467,0.00178418],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007486444,0.0007192008,0.00001853458,0.004960748,0.0001634995,0.007770405,0.004579987,0.002534792,0.9717664],"genre_scores_gemma":[0.05178675,0.0002313545,0.001744003,0.0001033776,0.0007006287,0.0001183989,0.003036094,0.004170783,0.9381086],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04580136,"threshold_uncertainty_score":0.9999534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.166788810159745,"score_gpt":0.361586137178506,"score_spread":0.194797327018761,"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."}}