{"id":"W1563209007","doi":"10.24095/hpcdp.29.1.01","title":"Health Literacy and Numeracy: Key Factors in Cancer Risk Comprehension","year":2008,"lang":"en","type":"article","venue":"Chronic diseases in Canada","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Western University","funders":"Canadian Institutes of Health Research","keywords":"Numeracy; Health literacy; Context (archaeology); Literacy; Comprehension; Medicine; Anxiety; Health care; Psychology; Developmental psychology; Computer science; Psychiatry; Pedagogy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003048517,0.0001845135,0.0004179716,0.0001315858,0.0006451205,0.000008795138,0.0001514197,0.00006743571,0.0007762135],"category_scores_gemma":[0.0001427893,0.0001592067,0.0000262715,0.0003502774,0.00005903971,0.0007521823,0.0000951373,0.0006929889,0.000008178549],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006736087,"about_ca_system_score_gemma":0.02403403,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9821907,"about_ca_topic_score_gemma":0.9789842,"domain_scores_codex":[0.9967518,0.0006064496,0.001338099,0.0003060885,0.0002838029,0.0007137865],"domain_scores_gemma":[0.9980609,0.0005771145,0.0004624083,0.0003262829,0.00007273011,0.0005005065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000324207,0.00003562616,0.9590707,0.0007674537,0.000002955479,0.000006844156,0.003173618,0.0001365795,9.809347e-8,0.00003453501,0.006579361,0.03015982],"study_design_scores_gemma":[0.001017598,0.00002193351,0.9119234,0.0005110371,0.000002272895,6.256795e-7,0.0004352286,0.006387888,5.319946e-7,0.00006573282,0.07949346,0.0001402692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849055,0.01144373,0.00002187626,0.001164029,0.0008448225,0.0007554853,0.0005824493,0.00002795897,0.0002541561],"genre_scores_gemma":[0.9891825,0.005942605,0.00005407898,0.004391483,0.0001009045,0.0001142031,0.0001198782,0.0000137611,0.00008057599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07291409,"threshold_uncertainty_score":0.9970769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03498481238902295,"score_gpt":0.4056214397398153,"score_spread":0.3706366273507924,"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."}}