{"id":"W3110817035","doi":"10.1136/bmjoq-2020-ihi.9","title":"9 Rheum service: improving virtual care during COVID-19","year":2020,"lang":"en","type":"article","venue":"Oral Presentations","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Phone; Videoconferencing; Telemedicine; Computer science; Telehealth; Service (business); Multimedia; Medical emergency; Medicine; Health care","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":[0.005727886,0.0003361749,0.0002003209,0.0008015598,0.003009635,0.00221232,0.001670393,0.0006927989,0.02979749],"category_scores_gemma":[0.01837749,0.0003375537,0.0003606043,0.0006213543,0.0007010571,0.001369502,0.005392061,0.001061055,0.003579998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004193738,"about_ca_system_score_gemma":0.00899287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01629542,"about_ca_topic_score_gemma":0.03531426,"domain_scores_codex":[0.9951506,0.002456803,0.0003491309,0.0002913904,0.0007125539,0.00103958],"domain_scores_gemma":[0.9871351,0.001695658,0.001527618,0.000737166,0.001432818,0.007471594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001058838,0.002225901,0.1529124,0.001062945,0.00005066768,0.001482443,0.01393245,0.0007976008,0.002208361,0.003030973,0.2052222,0.6160153],"study_design_scores_gemma":[0.0005528564,0.005994379,0.4396975,0.00239865,0.0001030027,0.003522388,0.04392182,0.004865452,0.003711132,0.001997967,0.4929909,0.0002439689],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8026726,0.001785053,0.01186737,0.03023121,0.002281913,0.003069067,0.003860197,0.002758784,0.1414738],"genre_scores_gemma":[0.9324455,0.001057651,0.03458855,0.0076571,0.0007708736,0.001667329,0.002292494,0.0003052109,0.01921525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02979749,"threshold_uncertainty_score":0.09968257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06542917952148103,"score_gpt":0.3899230744867182,"score_spread":0.3244938949652372,"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."}}