{"id":"W2767911308","doi":"","title":"\"Without trust, research is impossible\": Administrative inertia in addressing legal threats to research confidentiality","year":2017,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Confidentiality; Political science; Internet privacy; Public relations; Public administration; Computer security; Business; Law; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.01349989,0.0005733523,0.001303298,0.00435612,0.001458456,0.0006690448,0.002460624,0.002645496,0.001532561],"category_scores_gemma":[0.01305631,0.0006152788,0.0003806751,0.002853489,0.001495532,0.0005879254,0.0006974206,0.01531353,0.0005151897],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641629,"about_ca_system_score_gemma":0.009510374,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02118135,"about_ca_topic_score_gemma":0.770968,"domain_scores_codex":[0.9877728,0.001866148,0.0009163821,0.00216977,0.005421738,0.001853189],"domain_scores_gemma":[0.9844848,0.005292366,0.0003234807,0.002657779,0.005942891,0.001298673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.02421137,0.001748136,0.8641202,0.004182058,0.0006817454,0.01012357,0.002663005,0.000003509889,0.0007355218,0.01377512,0.06660969,0.01114604],"study_design_scores_gemma":[0.01621424,0.006252388,0.1486766,0.02988153,0.0006357837,4.387248e-7,0.3343241,0.0001499321,0.07656665,0.02903955,0.3551156,0.003143196],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7122231,0.0002903958,0.000006084482,0.002809025,0.0004822646,0.002140646,0.0001834075,0.00006572545,0.2817994],"genre_scores_gemma":[0.6478623,0.0007893646,0.0001318122,0.0001239691,0.0003233305,0.00001736711,0.0004604948,0.00008866781,0.3502027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7497867,"threshold_uncertainty_score":0.9998415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5268364840254622,"score_gpt":0.5817798335684408,"score_spread":0.05494334954297853,"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."}}