{"id":"W2606652276","doi":"10.23889/ijpds.v1i1.392","title":"Virtual visits: Friend or foe of patient-centred care?","year":2017,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medical prescription; Primary care; Medicine; Family medicine; Cohort; Payment; Population; Service (business); Health care; Virtual patient; Medical emergency; Nursing; World Wide Web; Business; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01408413,0.0002030472,0.000517345,0.0006179375,0.00264671,0.006153176,0.002000797,0.002820547,0.01850834],"category_scores_gemma":[0.1083806,0.000310959,0.0004989578,0.001222364,0.003945934,0.007703421,0.003889249,0.004733621,0.001675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002522543,"about_ca_system_score_gemma":0.003875829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01099698,"about_ca_topic_score_gemma":0.02355457,"domain_scores_codex":[0.975949,0.01752998,0.0008003623,0.001207992,0.003300075,0.001212599],"domain_scores_gemma":[0.9351867,0.03361304,0.009034624,0.005570367,0.007300121,0.009295192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002709243,0.0002418284,0.1524278,0.001274546,0.0003044077,0.001918713,0.03871888,0.0002620792,0.0001823079,0.03239469,0.3962844,0.3757194],"study_design_scores_gemma":[0.0001225737,0.0006968569,0.1338028,0.009158676,0.0002750563,0.008765988,0.1267287,0.002491816,0.0005975966,0.0493269,0.6677408,0.000292241],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06704033,0.01305664,0.004755876,0.8729053,0.003971463,0.00005110646,0.0004566326,0.0002721674,0.03749048],"genre_scores_gemma":[0.8632261,0.008836319,0.004824183,0.1119527,0.003865076,0.0001141713,0.0002416931,0.000176968,0.006762802],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01850834,"threshold_uncertainty_score":0.07448488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1032134285448066,"score_gpt":0.4558814904618052,"score_spread":0.3526680619169986,"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."}}