{"id":"W4385949572","doi":"10.2196/49488","title":"Teledermatology in India During the Peri–COVID-19 Outbreak Period: Advantages, Shortcomings, and Challenges","year":2023,"lang":"en","type":"article","venue":"Iproceedings","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Teledermatology; Medicine; Telemedicine; Observational study; Health care; Outbreak; Population; Medical emergency; Coronavirus disease 2019 (COVID-19); Family medicine; Pediatrics; Emergency medicine; Environmental health; Disease; Pathology","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":[0.0002447063,0.0001539809,0.0002525681,0.0003290148,0.000202704,0.00003875044,0.00009387218,0.00009001396,0.00007274667],"category_scores_gemma":[0.0002031477,0.0001176217,0.00004293711,0.0002871864,0.0000933057,0.00006730993,0.0001631881,0.0002221471,0.00004805056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001040927,"about_ca_system_score_gemma":0.00003238868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003891434,"about_ca_topic_score_gemma":0.0000426048,"domain_scores_codex":[0.9989452,0.00001135382,0.0002144538,0.0003302723,0.0001746098,0.0003241482],"domain_scores_gemma":[0.9995891,0.00004770536,0.00005360505,0.0001257333,0.00002279061,0.0001610778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001707365,0.0003842549,0.7157493,0.0105331,0.0004777244,0.01165335,0.1300086,0.00001709972,0.03189315,0.01410891,0.01100986,0.07245729],"study_design_scores_gemma":[0.00193857,0.0001538501,0.545074,0.00008735582,0.00005744249,0.008013247,0.04384702,0.0002610136,0.0006494015,0.0001861303,0.3994456,0.0002863225],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694848,0.001071679,0.000001152633,0.02233204,0.0001416573,0.0004125941,0.0000017663,0.0002767266,0.006277573],"genre_scores_gemma":[0.9930797,0.003975772,0.0000211421,0.001318857,0.0001008358,0.00007555504,0.000003012284,0.00002498175,0.001400172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3884358,"threshold_uncertainty_score":0.4796475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02643535168206545,"score_gpt":0.2822152327589881,"score_spread":0.2557798810769226,"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."}}