{"id":"W7117885162","doi":"10.30953/thmt.v10.644","title":"Bringing Health Closer to People: The Case for Responsible Innovation","year":2025,"lang":"","type":"article","venue":"Telehealth and Medicine Today","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Health care; Healthcare system; Action (physics); Context (archaeology); Health data","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":[0.08343198,0.001317425,0.001701494,0.003055801,0.01196486,0.0250404,0.004337811,0.02843793,0.008807228],"category_scores_gemma":[0.08438785,0.001036193,0.00174611,0.001561347,0.1084682,0.03867712,0.01973596,0.02190685,0.002084906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01412191,"about_ca_system_score_gemma":0.02659569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005147194,"about_ca_topic_score_gemma":0.002642129,"domain_scores_codex":[0.9259155,0.04504148,0.001849466,0.007917486,0.01199148,0.007284601],"domain_scores_gemma":[0.8695956,0.08770818,0.006111041,0.01862649,0.007703255,0.01025532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001938884,0.00003709327,0.0002517058,0.00007106096,0.00001739225,0.0001437342,0.003152038,0.0003077536,0.00006694194,0.9860243,0.005119684,0.004788741],"study_design_scores_gemma":[0.0000484291,0.00002209133,0.0001145982,0.0002218328,0.000009631714,0.00009450488,0.001490247,0.0005333131,0.00009497289,0.9561616,0.04118282,0.00002596724],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.009531651,0.006990927,0.04518695,0.7691173,0.001486068,0.0001962338,0.00006784587,0.0001846903,0.1672383],"genre_scores_gemma":[0.8594253,0.006013569,0.02419652,0.09366463,0.002549273,0.0007788915,0.0000594769,0.000297306,0.01301505],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08343198,"threshold_uncertainty_score":0.4412358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1258201646882294,"score_gpt":0.4829483322569021,"score_spread":0.3571281675686728,"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."}}