{"id":"W4413774427","doi":"10.23889/ijpds.v10i4.3246","title":"Public trust, literacy and health data foundations in Canada","year":2025,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Memorial University of Newfoundland","funders":"","keywords":"Literacy; Health literacy; Public health; Public trust; Political science; Public relations; Data science; Psychology; Environmental health; Computer science; Medicine; Pedagogy; Nursing; Health care; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003616397,0.00008399065,0.0001662079,0.0005280974,0.001293479,0.0001896534,0.002440144,0.00002926456,0.00008689675],"category_scores_gemma":[0.001482071,0.00007669193,0.00001027378,0.0004887391,0.00005159407,0.004057828,0.0012487,0.0003563582,0.000002831501],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003174362,"about_ca_system_score_gemma":0.02787338,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6119331,"about_ca_topic_score_gemma":0.8888345,"domain_scores_codex":[0.9976871,0.000103021,0.0008396311,0.0004024322,0.0005639692,0.0004038165],"domain_scores_gemma":[0.9979174,0.000381426,0.0003743896,0.0006894499,0.0004593695,0.0001779636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001712228,0.00001695295,0.7968326,0.00003745686,0.00001134194,0.000002140582,0.0001068351,0.000008312332,0.000002021403,0.02995469,0.0856851,0.08732546],"study_design_scores_gemma":[0.0005256285,0.000006569319,0.635675,0.00008763228,0.00000277203,0.000006746954,0.0001629331,0.01363989,1.115563e-7,0.004073398,0.3457595,0.00005992343],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08276756,0.001210491,0.02533702,0.8510504,0.02690992,0.001809524,0.005681553,0.00005622754,0.005177332],"genre_scores_gemma":[0.9492927,0.0005462996,0.007409826,0.03738066,0.0004539785,0.00002217727,0.003957555,0.000009161533,0.0009276298],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8665252,"threshold_uncertainty_score":0.9948525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3182799121721329,"score_gpt":0.5711104753177529,"score_spread":0.25283056314562,"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."}}