{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007236208,0.0001452387,0.0001786186,0.001429331,0.0007375948,0.001154051,0.0004333645,0.0004160465,0.0008960304],"category_scores_gemma":[0.003153708,0.0001786048,0.000214085,0.002134813,0.0006050114,0.0007527185,0.0007015955,0.0005582207,0.00008701124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001064585,"about_ca_system_score_gemma":0.00109785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01213318,"about_ca_topic_score_gemma":0.01734669,"domain_scores_codex":[0.9989041,0.0003387076,0.0001475476,0.0001279987,0.000215522,0.0002660499],"domain_scores_gemma":[0.9953081,0.001291354,0.00253355,0.0001086041,0.0003517728,0.0004065806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007654163,0.00006140592,0.9775933,0.000282661,0.00001687422,0.003984685,0.003364783,0.00006844704,0.0003302095,0.0001118066,0.0005479491,0.01356124],"study_design_scores_gemma":[0.000003194268,0.0001254634,0.9763018,0.000143373,0.00002592252,0.00842271,0.01330118,0.0001201945,0.0001580149,0.0000591571,0.001327535,0.0000113743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946738,0.002770739,0.00007416685,0.0007467779,0.00001873843,0.00002309268,0.0002110914,0.000007800596,0.001473652],"genre_scores_gemma":[0.9984196,0.001233516,0.00007216587,0.0001217257,0.00002579482,0.000005637302,0.00004981594,0.000001341575,0.00007036089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01213318,"threshold_uncertainty_score":0.0241251,"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."}}