{"id":"W3102609273","doi":"10.1111/bioe.12829","title":"Accounting for research fatigue in research ethics","year":2020,"lang":"en","type":"article","venue":"Bioethics","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"De Veber; University of Toronto","funders":"","keywords":"Perspective (graphical); Research ethics; Psychology; Accounting research; Process (computing); Engineering ethics; Public relations; Applied psychology; Business; Accounting; Political science; Engineering; Psychiatry; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","research_integrity"],"consensus_categories":["metaresearch","research_integrity"],"category_scores_codex":[0.1348771,0.0001690386,0.0004532411,0.0005594765,0.0006354219,0.0001598817,0.0008555732,0.002720519,0.0001003002],"category_scores_gemma":[0.5262905,0.0001575343,0.0001443284,0.002762001,0.003425745,0.000113633,0.000848932,0.04080967,0.0002448547],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003305409,"about_ca_system_score_gemma":0.005724585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007705668,"about_ca_topic_score_gemma":0.001677115,"domain_scores_codex":[0.9874282,0.002207197,0.0009400685,0.001105603,0.006661623,0.001657283],"domain_scores_gemma":[0.693675,0.2876349,0.000134925,0.001630061,0.01563676,0.001288251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002390986,0.0006026048,0.03476737,0.008142764,0.00007531306,0.0002221902,0.02400281,0.00002303334,0.0100318,0.8994013,0.01519677,0.005143062],"study_design_scores_gemma":[0.01012444,0.008296097,0.01227015,0.005706169,0.0000481953,0.00001848677,0.03795023,0.01466094,0.02953594,0.6506957,0.2296134,0.001080181],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06575914,0.0008215262,0.001520755,0.9095688,0.0002779578,0.003132941,0.00003520696,0.0001479039,0.0187357],"genre_scores_gemma":[0.97589,0.001949508,0.01119154,0.00768345,0.001376223,0.0002349165,0.00002883955,0.0000987895,0.001546711],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9101309,"threshold_uncertainty_score":0.999912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9859609495613709,"score_gpt":0.7909718834215625,"score_spread":0.1949890661398084,"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."}}