{"id":"W7098182499","doi":"","title":"Abstract Reusable Knowledge for Achieving Privacy: A Canadian Health Information Technologies Perspective","year":2008,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Privacy by Design; Viewpoints; Privacy software; Information privacy; USable; Requirements elicitation; Ontology; Domain (mathematical analysis); Requirements engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.01277134,0.0007931435,0.0007259612,0.008410273,0.00514448,0.01586344,0.002880702,0.004203078,0.00636709],"category_scores_gemma":[0.02038914,0.0009313968,0.001543538,0.008406241,0.01885017,0.01383005,0.006057567,0.003879264,0.0006908097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03023457,"about_ca_system_score_gemma":0.0301943,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2343717,"about_ca_topic_score_gemma":0.1047824,"domain_scores_codex":[0.9873396,0.00523128,0.0009571644,0.0009179843,0.00450599,0.001047979],"domain_scores_gemma":[0.9846249,0.008263616,0.001135511,0.002454061,0.002750844,0.0007711607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000008431685,0.00001091247,0.0003558826,0.00009042156,0.000007614386,0.0001519991,0.001036888,0.001253571,0.000142467,0.9796317,0.002815702,0.01449436],"study_design_scores_gemma":[0.00001359458,0.00002670066,0.001092,0.000777722,0.00005256517,0.0004994207,0.003088108,0.005947168,0.0009624411,0.8444421,0.1430627,0.00003562209],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01815284,0.01768971,0.3985372,0.1325819,0.0003869163,0.0004264176,0.0007402763,0.0002890899,0.4311955],"genre_scores_gemma":[0.6645354,0.02934787,0.2468134,0.007429691,0.000648529,0.0003437493,0.0009241407,0.0001952325,0.04976194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7656283,"threshold_uncertainty_score":0.466015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06378166062125237,"score_gpt":0.2428874359493161,"score_spread":0.1791057753280637,"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."}}