{"id":"W4289524090","doi":"10.1177/17470161221116552","title":"Ethics review and conversation analysis","year":2022,"lang":"en","type":"article","venue":"Research Ethics","topic":"Language, Discourse, Communication Strategies","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Conversation; Warrant; Research ethics; Informed consent; Normative; Value (mathematics); Psychology; Data collection; Conversation analysis; Resource (disambiguation); Preference; Social psychology; Engineering ethics; Public relations; Sociology; Epistemology; Medicine; Political science; Computer science; Social science; Alternative medicine; Business; Communication; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.2716619,0.001208222,0.00205456,0.008138076,0.01165303,0.01369431,0.005405985,0.008141384,0.02728609],"category_scores_gemma":[0.3815773,0.001506763,0.001484146,0.007162395,0.01533276,0.009914976,0.01135282,0.01433032,0.01120831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01350382,"about_ca_system_score_gemma":0.08309443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0047052,"about_ca_topic_score_gemma":0.005703192,"domain_scores_codex":[0.5748183,0.3481686,0.02476351,0.01470079,0.02959712,0.007951703],"domain_scores_gemma":[0.5522081,0.2349588,0.01206471,0.06266432,0.1240845,0.01401957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000275427,0.0001832813,0.001077449,0.003073252,0.0000476208,0.001631828,0.1433595,0.0005500553,0.001088944,0.4588094,0.2551164,0.1347867],"study_design_scores_gemma":[0.00006109607,0.0000533437,0.0003140429,0.002777988,0.00001350256,0.0004577106,0.02183292,0.0004827949,0.0006106261,0.0479312,0.9254118,0.00005289133],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02070439,0.008875297,0.3378664,0.1920264,0.01585544,0.1042418,0.00324634,0.001354264,0.3158297],"genre_scores_gemma":[0.2055485,0.007193716,0.3385098,0.06747245,0.005134245,0.2290594,0.00280549,0.001959418,0.1423171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9918586,"threshold_uncertainty_score":0.8981705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5176638388297126,"score_gpt":0.520446981172352,"score_spread":0.002783142342639433,"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."}}