{"id":"W198041513","doi":"10.1136/bmj.39402.471863.be","title":"How telemedicine helps","year":2007,"lang":"en","type":"letter","venue":"BMJ","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Telemedicine; Computer science; Data science; World Wide Web; Health care; Political science","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":[0.005041428,0.0007777561,0.0005640244,0.001019111,0.00668098,0.006385821,0.001298725,0.02319825,0.0291847],"category_scores_gemma":[0.03497564,0.000394278,0.0009308991,0.0007271476,0.005410918,0.01278572,0.004158714,0.02187275,0.01275099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003409435,"about_ca_system_score_gemma":0.00424387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006643334,"about_ca_topic_score_gemma":0.01189068,"domain_scores_codex":[0.9927772,0.002933127,0.0002958937,0.0006001136,0.002436686,0.0009570242],"domain_scores_gemma":[0.9891449,0.004977834,0.0005103817,0.0007321898,0.002228086,0.002406711],"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":[0.00003383847,0.00005902936,0.0005766934,0.0001321747,0.00001865597,0.0006252126,0.001256852,0.00003893997,0.0001250822,0.01388099,0.9349914,0.04826124],"study_design_scores_gemma":[0.00002891854,0.00006248836,0.0004502188,0.0004956865,0.0000147783,0.001839699,0.001648634,0.00006012336,0.00007455157,0.0162975,0.9790019,0.00002553927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000392709,0.006230931,0.000236782,0.9691334,0.008857184,0.000007876086,0.00001959988,0.00004263066,0.01507881],"genre_scores_gemma":[0.01533797,0.01599738,0.0007280167,0.9184371,0.01682653,0.00004297654,0.00005434625,0.00007609231,0.03249957],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0291847,"threshold_uncertainty_score":0.09763253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08842572330409158,"score_gpt":0.3451647774059674,"score_spread":0.2567390541018758,"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."}}