{"id":"W1993388948","doi":"10.1016/j.hcmf.2011.07.008","title":"Can eHealth Tools Enable Health Organizations to Reach Their Target Audience?","year":2011,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Heart and Stroke Foundation","funders":"","keywords":"eHealth; Health promotion; Overweight; Stroke (engine); Promotion (chess); Business; Medicine; Population; Public relations; Medical education; Nursing; Health care; Environmental health; Political science; Obesity; Public health; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01433732,0.0003207151,0.0005944847,0.001782992,0.0006673195,0.003957395,0.0007621686,0.002864034,0.01111869],"category_scores_gemma":[0.08931139,0.0002939636,0.0007283481,0.001270622,0.0009049083,0.01117151,0.001955842,0.001258984,0.002546489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007559929,"about_ca_system_score_gemma":0.001537041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002787311,"about_ca_topic_score_gemma":0.003640505,"domain_scores_codex":[0.9930184,0.004371773,0.0003959245,0.0002140487,0.001237084,0.0007627383],"domain_scores_gemma":[0.9542951,0.03599378,0.003295962,0.0008600067,0.003487007,0.002068103],"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":[0.0003162818,0.001480828,0.08467366,0.004229718,0.0001123278,0.0002555053,0.007562064,0.0003564452,0.0004894994,0.005758917,0.03233746,0.8624273],"study_design_scores_gemma":[0.001014461,0.004100667,0.5423495,0.02516846,0.0006245502,0.001615301,0.06339563,0.005899618,0.004079389,0.04834583,0.3030401,0.0003665244],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4405314,0.02429084,0.01967969,0.3498251,0.00192085,0.001299646,0.001642542,0.0009724603,0.1598374],"genre_scores_gemma":[0.9529568,0.01307105,0.0131089,0.01447485,0.001228249,0.0008103186,0.000330321,0.00005305859,0.003966344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01433732,"threshold_uncertainty_score":0.0758239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08222825099098525,"score_gpt":0.3949055440675494,"score_spread":0.3126772930765641,"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."}}