{"id":"W1999384998","doi":"10.2196/medinform.3803","title":"Effects of Individual Health Topic Familiarity on Activity Patterns During Health Information Searches","year":2015,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Terminology; Cognition; Health communication; Session (web analytics); Applied psychology; Task (project management); Computer science; World Wide Web; Communication","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007071706,0.0002424936,0.0006630247,0.0003204932,0.0005718552,0.00003457273,0.0005003939,0.0003870511,0.0001279046],"category_scores_gemma":[0.001843919,0.000191921,0.00008225814,0.0004404439,0.0001069975,0.002787537,0.000340065,0.00183527,0.0002727704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007344611,"about_ca_system_score_gemma":0.003932789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005215897,"about_ca_topic_score_gemma":0.00005234166,"domain_scores_codex":[0.9922929,0.001005435,0.003517787,0.0001120353,0.002184291,0.0008875632],"domain_scores_gemma":[0.9949263,0.0007222682,0.002076321,0.0004623342,0.0003600614,0.001452762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004841561,0.0007696677,0.1179491,0.06469154,0.0000659067,0.000001594005,0.4204651,0.00001635504,8.531579e-7,0.002309453,0.02865918,0.3645871],"study_design_scores_gemma":[0.007540664,0.001315769,0.9068538,0.003884264,0.000007987161,0.000005278492,0.02599883,0.008944765,0.0001724691,0.0002475525,0.04459302,0.0004355823],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868127,0.00003039431,0.004640272,0.002899459,0.0006896717,0.002410506,0.000126593,0.0001722131,0.002218193],"genre_scores_gemma":[0.9719131,0.0001541657,0.0009261407,0.02626293,0.0001905912,0.0002586509,0.0002097149,0.00001149866,0.00007319466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7889047,"threshold_uncertainty_score":0.7973438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08332912521469142,"score_gpt":0.4666812923996208,"score_spread":0.3833521671849294,"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."}}