{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001419999,0.0001810138,0.0002593251,0.001209577,0.0006420705,0.00439042,0.000330155,0.00123697,0.003416847],"category_scores_gemma":[0.01335372,0.0002838577,0.0002931573,0.0008422104,0.0007294724,0.00387038,0.0007629912,0.0005312734,0.0007970109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005301208,"about_ca_system_score_gemma":0.0006027541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008685108,"about_ca_topic_score_gemma":0.005538484,"domain_scores_codex":[0.9984362,0.0007260767,0.0001217664,0.0001139243,0.0004654539,0.0001365946],"domain_scores_gemma":[0.9956372,0.002915245,0.0004653757,0.0001749388,0.000646797,0.0001603427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006385886,0.0004040711,0.5587184,0.000583525,0.000171708,0.001474865,0.2767516,0.0004281108,0.007915309,0.004895265,0.006884939,0.1411336],"study_design_scores_gemma":[0.0001225975,0.0006821921,0.4865779,0.0005163528,0.0004862209,0.00482835,0.4249012,0.009716251,0.005172809,0.01019534,0.05658879,0.0002119807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869149,0.0005643135,0.0008942468,0.001272472,0.000006926692,0.00003170967,0.0000934467,0.00003715614,0.01018478],"genre_scores_gemma":[0.9966174,0.0005264417,0.0007634231,0.0002377065,0.00001033556,0.00001358866,0.0001331595,0.00001536265,0.001682531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008685108,"threshold_uncertainty_score":0.01726913,"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."}}