{"id":"W2913544709","doi":"10.1037/e509012013-147","title":"Privacy, Consent and Population Health Research: The Canadian Legal Landscape","year":2004,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Internet privacy; Geography; Informed consent; Population; Environmental health; Medicine; Computer science; Alternative medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01389424,0.0003129999,0.0005784014,0.0005525272,0.001015739,0.0003481701,0.0009311642,0.0008806809,0.0007212245],"category_scores_gemma":[0.01483615,0.0002211732,0.00007194659,0.0004840004,0.0009180837,0.00008984592,0.0004542274,0.008057318,0.000506972],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007594781,"about_ca_system_score_gemma":0.01331933,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8025647,"about_ca_topic_score_gemma":0.9668213,"domain_scores_codex":[0.9938421,0.000770801,0.0007847333,0.0009124291,0.002546404,0.00114349],"domain_scores_gemma":[0.9892804,0.005956,0.0001898115,0.00275605,0.0003175992,0.001500151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001010031,0.0001057669,0.0004396782,0.000971317,0.00006739489,0.0002207247,0.00002378692,5.656186e-7,2.294113e-7,0.0009541966,0.9968292,0.000286118],"study_design_scores_gemma":[0.0008317509,0.000352422,0.00662422,0.0007762815,0.00005031632,0.0002115282,0.00004974011,0.000003919394,3.767143e-7,0.003090058,0.9878256,0.0001837744],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008867836,0.00118944,6.046849e-7,0.08582561,0.0002339904,0.001295755,0.9112564,0.00001475509,0.00009478248],"genre_scores_gemma":[0.001002936,0.005843915,0.0001424731,0.008786269,0.0005956031,0.00006060259,0.9833733,0.00003385328,0.0001610808],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1642565,"threshold_uncertainty_score":0.9942311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7179319576594234,"score_gpt":0.6366135699076819,"score_spread":0.0813183877517415,"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."}}