{"id":"W135873586","doi":"","title":"Getting a second opinion: health information and the Internet.","year":2008,"lang":"en","type":"article","venue":"PubMed","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"The Internet; Internet privacy; Health information; Internet users; Health Information National Trends Survey; Digital divide; Psychology; Computer science; World Wide Web; Medicine; Health care; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002827303,0.0002257009,0.0003146194,0.00279947,0.004887154,0.008243888,0.0005816009,0.00282877,0.01293443],"category_scores_gemma":[0.01359119,0.0001895928,0.0002465556,0.002620268,0.006973441,0.005172607,0.002584512,0.00233596,0.001345457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007232641,"about_ca_system_score_gemma":0.009276112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3163244,"about_ca_topic_score_gemma":0.4057672,"domain_scores_codex":[0.9969888,0.0009165846,0.0001173931,0.0001415548,0.001361546,0.0004740291],"domain_scores_gemma":[0.9924921,0.003056316,0.001171177,0.0001723914,0.001321207,0.001786728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001141271,0.0002054794,0.07520752,0.001331233,0.0000565953,0.002963454,0.2696268,0.0000780014,0.001082932,0.0775919,0.2659738,0.305768],"study_design_scores_gemma":[0.00003040053,0.00009424227,0.1053445,0.002313982,0.00006045049,0.002919684,0.2483074,0.0001937218,0.0002514064,0.01537187,0.6250088,0.0001034842],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1288491,0.07087955,0.001322057,0.3610109,0.002669416,0.0001051714,0.0006584873,0.0001091874,0.4343962],"genre_scores_gemma":[0.858306,0.04414557,0.001050477,0.05410245,0.001540446,0.00006288441,0.0004009712,0.00003628318,0.04035493],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3163244,"threshold_uncertainty_score":0.6289664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06438620400083535,"score_gpt":0.3768626287493784,"score_spread":0.312476424748543,"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."}}