{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00818635,0.0009303485,0.0009722105,0.01016083,0.002950692,0.004917834,0.003889556,0.001971229,0.02537122],"category_scores_gemma":[0.06197099,0.0009716701,0.001104009,0.02938756,0.001256947,0.001641005,0.002244846,0.002784091,0.00656908],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04682949,"about_ca_system_score_gemma":0.08647102,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9468237,"about_ca_topic_score_gemma":0.9681593,"domain_scores_codex":[0.9940287,0.001541539,0.0008136319,0.0005702648,0.002302931,0.0007430335],"domain_scores_gemma":[0.9528941,0.01815237,0.002790552,0.007460678,0.01637926,0.002323037],"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":[0.00006177928,0.00001366123,0.003021011,0.0003054666,0.00002389174,0.00002343618,0.0001337671,0.0004209067,0.00002063683,0.006218345,0.9830542,0.006702894],"study_design_scores_gemma":[0.0001051264,0.000004639583,0.02604512,0.0007023249,0.00004365792,0.00004776314,0.0003391773,0.0007433885,0.0001597993,0.005186337,0.966569,0.00005364683],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008968657,0.0004357516,0.0004726887,0.001864239,0.00004974847,0.00007904568,0.9901238,0.0002087808,0.005868989],"genre_scores_gemma":[0.006645965,0.0007857412,0.003133618,0.0004901658,0.00002508286,0.000524282,0.9824911,0.0001531965,0.005750909],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9980288,"threshold_uncertainty_score":0.3397734,"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."}}