{"id":"W2754177351","doi":"10.4172/2157-7420-c1-017","title":"WHY TELEHEALTH IS NOT ABOUT TECHNOLOGY?","year":2017,"lang":"en","type":"article","venue":"Journal of Health & Medical Informatics","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telehealth; Telemedicine; Medicine; Business; Economics; Health care; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.009264817,0.0006716237,0.0006889166,0.001960108,0.003900043,0.01472385,0.001232961,0.01319704,0.01774812],"category_scores_gemma":[0.0348964,0.000397537,0.0006570381,0.001857554,0.01698853,0.02607491,0.004038331,0.01465861,0.008443734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004818047,"about_ca_system_score_gemma":0.00331452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004054582,"about_ca_topic_score_gemma":0.002861508,"domain_scores_codex":[0.9819883,0.008800172,0.0007698365,0.001618014,0.005587806,0.001235923],"domain_scores_gemma":[0.9732366,0.01802765,0.000883646,0.001498527,0.004677899,0.001675746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000543654,0.00007639563,0.002265711,0.001143871,0.00004050657,0.0004193822,0.005876466,0.0002369319,0.0004779262,0.3671547,0.4682705,0.1539834],"study_design_scores_gemma":[0.00002600777,0.00005993004,0.001401675,0.001933957,0.000025406,0.00112274,0.005514637,0.0002269116,0.0003724178,0.1326751,0.8565807,0.00006044589],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001388693,0.03936151,0.005676474,0.8821835,0.0102563,0.00003227192,0.00008602564,0.0002329036,0.06078234],"genre_scores_gemma":[0.1734537,0.1262246,0.01011434,0.5947645,0.03593946,0.0003204038,0.0002520432,0.0007020028,0.05822895],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01774812,"threshold_uncertainty_score":0.05937338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04908588449942956,"score_gpt":0.4223042757440476,"score_spread":0.373218391244618,"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."}}