{"id":"W2003071391","doi":"10.2196/med20.3213","title":"Health Information on the Web and Consumers’ Perspectives on Health Professionals’ Responses to Information Exchange","year":2014,"lang":"en","type":"article","venue":"Medicine 2 0","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Maryland, Baltimore County","keywords":"Health information; Health information exchange; Health professionals; Business; Information exchange; Health information technology; Health care; Public relations; Internet privacy; Medicine; Political science; Computer science; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008923787,0.000234661,0.0003447344,0.001517933,0.002518183,0.005307931,0.0003157673,0.002176186,0.005320476],"category_scores_gemma":[0.02868268,0.0002933365,0.0003736918,0.001605487,0.001878537,0.00325382,0.00264609,0.00170256,0.0003930677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001406665,"about_ca_system_score_gemma":0.001135752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005397451,"about_ca_topic_score_gemma":0.004264657,"domain_scores_codex":[0.9930929,0.004552615,0.0003738119,0.0002265464,0.001184899,0.0005691711],"domain_scores_gemma":[0.967299,0.02617259,0.002923011,0.0004768359,0.001787878,0.001340595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002769283,0.0002264925,0.107966,0.0002126288,0.00003344957,0.0009762926,0.8692673,0.00005011213,0.001200723,0.001509398,0.001681172,0.0165995],"study_design_scores_gemma":[0.0000383582,0.0002406993,0.08850645,0.0002457306,0.00003654187,0.0005981609,0.8960461,0.0002723187,0.0003508218,0.0006069259,0.01302062,0.00003716032],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861969,0.0002385139,0.0001506226,0.002394137,0.00002649356,0.0000271239,0.00004430916,0.00000515106,0.01091669],"genre_scores_gemma":[0.9973063,0.0003423429,0.0001226369,0.000906386,0.00004921144,0.00003206772,0.00004127776,0.000007671749,0.001191983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008923787,"threshold_uncertainty_score":0.04719406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05718398430384013,"score_gpt":0.4571110200131463,"score_spread":0.3999270357093062,"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."}}