{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003127501,0.0001649792,0.0002772826,0.0003111129,0.002376358,0.001546912,0.0004262871,0.000141136,0.0003267143],"category_scores_gemma":[0.0006605879,0.0001545949,0.00006760668,0.0003415593,0.0001371159,0.009530148,0.00009397931,0.000831887,0.0002330999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005728172,"about_ca_system_score_gemma":0.002668828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008664178,"about_ca_topic_score_gemma":0.0001786699,"domain_scores_codex":[0.9968341,0.0006303569,0.0009691719,0.0001171984,0.0008101568,0.0006389892],"domain_scores_gemma":[0.9975659,0.0001129948,0.001011667,0.0002211533,0.0002188212,0.0008695102],"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":[0.0001857181,0.00008483502,0.009523096,0.00008482128,0.00001851697,0.000002057898,0.08855359,0.000009555535,2.34175e-7,0.02087457,0.5941193,0.2865437],"study_design_scores_gemma":[0.001008364,0.0003824421,0.00337786,0.0001535213,0.00000416288,0.00004630571,0.0200734,0.00008012996,0.00001346788,0.01406323,0.9606068,0.0001903729],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04741745,0.005751562,0.0114414,0.9039233,0.008947077,0.002025495,0.000343426,0.0007846963,0.01936561],"genre_scores_gemma":[0.8834707,0.009487241,0.01265973,0.09112658,0.002475484,0.00005371366,0.0004756195,0.00004549756,0.0002054546],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.8360533,"threshold_uncertainty_score":0.9994896,"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."}}