{"id":"W1994668300","doi":"10.1177/1460458207079901","title":"How consumers search for health information","year":2007,"lang":"en","type":"article","venue":"Health Informatics Journal","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Canada Research Chairs","keywords":"Computer science; Database transaction; Quality (philosophy); Transaction log; Health information; Process (computing); Information retrieval; World Wide Web; Health care; Database","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.03637678,0.0002808134,0.0006377548,0.0007811727,0.005026408,0.0002886599,0.0004070419,0.000276013,0.0001573969],"category_scores_gemma":[0.001017043,0.0002319765,0.0001539268,0.00055175,0.00009198416,0.007694314,0.00008945391,0.002163397,0.0002803658],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001773479,"about_ca_system_score_gemma":0.006255493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000881646,"about_ca_topic_score_gemma":0.00005419411,"domain_scores_codex":[0.9886651,0.0004789106,0.007563428,0.00009972688,0.0009212312,0.0022716],"domain_scores_gemma":[0.9903356,0.0009156776,0.004950231,0.0004103322,0.001669157,0.001719038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005363513,0.00006980987,0.02277434,0.01163623,0.00004233246,4.220391e-7,0.1233324,0.00003829253,5.156654e-7,0.01057687,0.1801074,0.650885],"study_design_scores_gemma":[0.002586741,0.0004050106,0.008294927,0.000429265,0.000003365643,0.00004899076,0.04005807,0.004527641,0.000007661519,0.0002494727,0.9431742,0.0002146473],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.01621023,0.000269181,0.9317221,0.03742377,0.003072917,0.003931634,0.0002250061,0.0001941631,0.00695099],"genre_scores_gemma":[0.2018258,0.002400594,0.3192709,0.4714398,0.002043252,0.0002791426,0.001068593,0.00008975523,0.001582125],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7630668,"threshold_uncertainty_score":0.9993781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1128440215377029,"score_gpt":0.5133524890344484,"score_spread":0.4005084674967455,"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."}}