{"id":"W1909973223","doi":"10.1111/hir.12111","title":"Could we do better? Behavioural tracking on recommended consumer health websites","year":2015,"lang":"en","type":"article","venue":"Health Information & Libraries Journal","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"BitTorrent tracker; Tracking (education); Business; Government (linguistics); Internet privacy; Profit (economics); For profit; Advertising; Eye tracking; World Wide Web; Health information; Web site; Computer science; The Internet; Health care; Psychology; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007843941,0.0001766185,0.000310169,0.001304764,0.001488195,0.003414513,0.0007780942,0.001728315,0.006741678],"category_scores_gemma":[0.06289218,0.0003168194,0.0004290921,0.001390156,0.001519231,0.005770442,0.001387458,0.00140093,0.001881922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008908546,"about_ca_system_score_gemma":0.001517113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006030958,"about_ca_topic_score_gemma":0.006052637,"domain_scores_codex":[0.9933256,0.004088854,0.0003204354,0.0004744265,0.001348795,0.0004418775],"domain_scores_gemma":[0.9663025,0.01786584,0.008108771,0.002974728,0.003138794,0.001609515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004448426,0.0007444102,0.6261778,0.0007784927,0.0002192843,0.000373543,0.06368152,0.0001935904,0.00106596,0.004934859,0.01462629,0.2867593],"study_design_scores_gemma":[0.0001190329,0.0011155,0.7341021,0.002748622,0.0003363486,0.001898975,0.1264094,0.001575096,0.002227621,0.007514968,0.1217617,0.0001905509],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9420162,0.001907161,0.002977126,0.01407082,0.000149983,0.0001362558,0.0005101273,0.0001403932,0.03809179],"genre_scores_gemma":[0.9885122,0.001462728,0.002456167,0.003099452,0.00009085987,0.00006646424,0.0002623357,0.00004189425,0.004008014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007843941,"threshold_uncertainty_score":0.04148322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.146811585160728,"score_gpt":0.3654471923583215,"score_spread":0.2186356071975935,"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."}}