{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003980954,0.0004189819,0.0006725228,0.000540094,0.003764069,0.00005154564,0.0007437902,0.0002290922,0.002208905],"category_scores_gemma":[0.000318803,0.0003617108,0.00008093818,0.002182787,0.00005904743,0.001003752,0.0006066568,0.0009056659,0.001311643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001434998,"about_ca_system_score_gemma":0.001620717,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007664599,"about_ca_topic_score_gemma":0.004000532,"domain_scores_codex":[0.9920982,0.001098824,0.002929151,0.0007830574,0.0005503833,0.002540403],"domain_scores_gemma":[0.9951937,0.0001659182,0.0009917887,0.001361109,0.0007952304,0.001492294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001869982,0.0004000589,0.2214018,0.007790732,0.0000663788,0.00000751087,0.09767935,0.00001265551,0.0000012663,0.264961,0.2664477,0.1410445],"study_design_scores_gemma":[0.0008657911,0.0005176873,0.09894947,0.0006611132,0.000008354214,0.000002512046,0.04478011,0.0003555688,0.00001701903,0.01075132,0.8425752,0.0005158406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03070554,0.001029971,0.09465865,0.5091451,0.008543655,0.030136,0.001952048,0.003037644,0.3207915],"genre_scores_gemma":[0.6956319,0.0005992816,0.03283625,0.2617377,0.0003016255,0.001459492,0.000714546,0.0001036115,0.006615681],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.6649263,"threshold_uncertainty_score":0.9998835,"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."}}