{"id":"W240572859","doi":"","title":"Engaging the Humanities? Research Ethics in Canada","year":2002,"lang":"en","type":"article","venue":"Journal of Research Administration","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanism; Research council; Research ethics; Agency (philosophy); Political science; Human research; Social research; Sociology; Public relations; Social science; Engineering ethics; Government (linguistics); Law; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["research_integrity"],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":true,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"other","about_ca_system":true,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.05377756,0.0005437144,0.001039353,0.002602467,0.04070736,0.02563194,0.00377628,0.006645264,0.007926403],"category_scores_gemma":[0.08451983,0.0006825868,0.0005494477,0.007749286,0.040115,0.005871403,0.01194456,0.009525085,0.0006101752],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2900532,"about_ca_system_score_gemma":0.6725371,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9850042,"about_ca_topic_score_gemma":0.9879628,"domain_scores_codex":[0.9016917,0.04909173,0.002620249,0.004668346,0.02300757,0.01892029],"domain_scores_gemma":[0.8299323,0.06726141,0.009812543,0.005093286,0.04533228,0.04256815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009585741,0.0001122113,0.01522431,0.001040333,0.00005183513,0.0007312145,0.09997625,0.0008877346,0.0003962522,0.6317544,0.1727858,0.07694387],"study_design_scores_gemma":[0.00006801547,0.00006068559,0.03372744,0.003075267,0.00003780241,0.0002224466,0.1284591,0.0009889036,0.0004256705,0.086638,0.746094,0.0002025615],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04389733,0.03163947,0.003806446,0.7361684,0.001936346,0.0004457636,0.0003768419,0.00008740855,0.1816419],"genre_scores_gemma":[0.8446807,0.01575263,0.005848775,0.09354229,0.0004121411,0.0003583569,0.0001706227,0.00008012305,0.03915451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9933547,"threshold_uncertainty_score":0.8234376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9099103023803706,"score_gpt":0.6854122957557205,"score_spread":0.2244980066246501,"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."}}