{"id":"W4389333403","doi":"10.2196/45331","title":"Telehealth With Comprehensive Live-Fed Real-World Data as a Patient Care Platform for Lung Cancer: Implementation and Evaluation Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telehealth; Lung cancer; Medicine; Real world data; Health care; Telemedicine; Medical emergency; Computer science; Data science; Oncology; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002841023,0.0002075016,0.000371191,0.000275656,0.0002559086,0.00002493047,0.00008504065,0.00002957048,0.0002237306],"category_scores_gemma":[0.00001418112,0.0001681871,0.00002150999,0.0005957513,0.00003854409,0.0002218212,0.00007943156,0.0001266555,0.000002999146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006930928,"about_ca_system_score_gemma":0.001063392,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03091966,"about_ca_topic_score_gemma":0.114189,"domain_scores_codex":[0.9977839,0.00005665472,0.0004748544,0.0005597823,0.0007014741,0.0004233626],"domain_scores_gemma":[0.9983415,0.0001212057,0.0003344457,0.0004178655,0.0005942025,0.000190775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001206892,0.00008109134,0.4433322,0.0008215724,0.000193504,0.000008301898,0.0193066,0.00002148453,0.00004452109,0.00001792153,0.02382135,0.5111446],"study_design_scores_gemma":[0.01328099,0.007183813,0.832571,0.0002431891,0.0007837361,0.000005572437,0.1247975,0.004187316,0.0001022892,0.0000128165,0.01659335,0.0002384322],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842132,0.000642793,0.00001499694,0.001900152,0.0002228515,0.01221232,0.0006055525,0.0001171053,0.00007099859],"genre_scores_gemma":[0.9862714,0.0008056707,0.0002332639,0.001151658,0.0003662409,0.007167562,0.003907857,0.00004620096,0.0000501649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5109061,"threshold_uncertainty_score":0.9755335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1303862043277937,"score_gpt":0.5139401645214465,"score_spread":0.3835539601936528,"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."}}