{"id":"W2782102453","doi":"10.1177/1747016117750208","title":"Ethics review and freedom of information requests in qualitative research","year":2018,"lang":"en","type":"article","venue":"Research Ethics","topic":"Qualitative Research Methods and Ethics","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Winnipeg","funders":"","keywords":"Freedom of information; Vetting; Transparency (behavior); Government (linguistics); Bureaucracy; Political science; Engineering ethics; Information ethics; Public relations; Qualitative research; Citizenship; Sociology; Research ethics; Law; Social science; Politics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.6671078,0.001343958,0.002903081,0.008241997,0.01688306,0.01609439,0.004916176,0.009647232,0.005617141],"category_scores_gemma":[0.7059426,0.002765212,0.001671124,0.01032749,0.1089193,0.0222392,0.02058257,0.01153297,0.001276514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02167756,"about_ca_system_score_gemma":0.05522017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004886943,"about_ca_topic_score_gemma":0.00581882,"domain_scores_codex":[0.09720507,0.8556499,0.0189367,0.00844653,0.01712574,0.002636019],"domain_scores_gemma":[0.1011167,0.7864802,0.03037732,0.04962004,0.02924254,0.003163241],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001307528,0.00007077908,0.001793736,0.002726549,0.00005867086,0.00047789,0.442974,0.0004768932,0.0006833017,0.5168195,0.007014252,0.02677354],"study_design_scores_gemma":[0.0003402974,0.0001602316,0.001482369,0.009773968,0.00007115397,0.001085842,0.1120656,0.002830919,0.001999913,0.7032776,0.1666953,0.0002167454],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05740261,0.008221659,0.6389475,0.1846606,0.003688804,0.02680057,0.0004648801,0.0002800045,0.07953343],"genre_scores_gemma":[0.5720455,0.00311035,0.3087738,0.02913499,0.001205275,0.07936696,0.0002119625,0.0002750609,0.005876156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3328922,"threshold_uncertainty_score":0.4105154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8226387391353674,"score_gpt":0.7699121586614852,"score_spread":0.05272658047388223,"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."}}