{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005341359,0.0001217033,0.0001848465,0.00008470016,0.0003030246,0.00002521941,0.00007909825,0.00004612019,0.0008458616],"category_scores_gemma":[0.0003199533,0.000117841,0.00004857492,0.0004263879,0.00002813988,0.0001885071,0.00006069992,0.0001803949,0.0001075768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009199975,"about_ca_system_score_gemma":0.0003604635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00131267,"about_ca_topic_score_gemma":0.0003192883,"domain_scores_codex":[0.9988061,0.00004518313,0.0003195104,0.0002654894,0.0002950345,0.0002687522],"domain_scores_gemma":[0.9988833,0.00005660237,0.00009216589,0.0001634989,0.0001372446,0.0006671819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001085726,0.0002261169,0.7134137,0.005696849,0.000254008,0.0003423952,0.1055369,0.000765726,0.05420814,0.001970598,0.0779817,0.03851809],"study_design_scores_gemma":[0.02744459,0.002197126,0.6261216,0.00008657898,0.0007710845,0.0002128001,0.2142128,0.005413747,0.01180688,0.0001523351,0.1106969,0.0008834659],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9131324,0.0001173678,0.003854924,0.08051352,0.0001559937,0.0008843702,0.00006706136,0.0002907153,0.0009836187],"genre_scores_gemma":[0.9783624,0.00001308374,0.001123975,0.01934586,0.000358397,0.00005896963,0.0005363029,0.00002428323,0.0001767513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1086759,"threshold_uncertainty_score":0.9261591,"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."}}