{"id":"W7077308730","doi":"","title":"CHALLENGES OF AI FOR RESEARCH ETHICS","year":2025,"lang":"en","type":"preprint","venue":"QSpace (Queen's University Library)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Popularity; Research ethics; Legislation; Suspect; Applied ethics; Survey research; Ethical issues; Information ethics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4722995,0.0008282278,0.002179872,0.004963554,0.03379204,0.04958745,0.00640967,0.02235826,0.005751534],"category_scores_gemma":[0.4820071,0.001480461,0.001821576,0.007790382,0.118711,0.03665084,0.02105102,0.04785623,0.00283158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0495697,"about_ca_system_score_gemma":0.1502437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05647749,"about_ca_topic_score_gemma":0.04254756,"domain_scores_codex":[0.3429753,0.548906,0.02175123,0.01277918,0.06138783,0.01220045],"domain_scores_gemma":[0.198044,0.6563221,0.0184867,0.03227003,0.07491967,0.01995752],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002730014,0.00004412043,0.001327602,0.0004007396,0.00002897647,0.0002204903,0.0377543,0.0004840973,0.0001914918,0.8743975,0.05156061,0.03356291],"study_design_scores_gemma":[0.00003475806,0.0000327851,0.001293565,0.001784128,0.00001830251,0.0003574209,0.03606379,0.001381232,0.0002325024,0.6593118,0.2993734,0.0001163663],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003274473,0.005501888,0.0179558,0.9348021,0.001603749,0.0001275281,0.00003756834,0.00006963015,0.03662726],"genre_scores_gemma":[0.4759442,0.01486247,0.08784991,0.3962742,0.007158265,0.002103591,0.0001729988,0.0004605564,0.01517374],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9776418,"threshold_uncertainty_score":0.6507487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07688133918478779,"score_gpt":0.2995062933709434,"score_spread":0.2226249541861556,"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."}}