{"id":"W4366504308","doi":"10.2196/45430","title":"Teledermatology for Enhancing Skin Cancer Diagnosis and Management: Retrospective Chart Review","year":2023,"lang":"en","type":"article","venue":"JMIR Dermatology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Teledermatology; Medicine; Referral; Medical diagnosis; Skin cancer; Dermatology; Economic shortage; Cancer; Telemedicine; Family medicine; Pathology; Health care; Internal medicine","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":[0.001538163,0.000289544,0.0004287748,0.004447486,0.0005983333,0.000647047,0.0006528604,0.000489724,0.002616949],"category_scores_gemma":[0.005201612,0.0004304818,0.0003687724,0.004396772,0.0004688328,0.0005547897,0.0005630777,0.0004036854,0.0006062143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001392668,"about_ca_system_score_gemma":0.001910114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01068686,"about_ca_topic_score_gemma":0.01195927,"domain_scores_codex":[0.997726,0.0004104693,0.0005622378,0.0004563835,0.0006517447,0.0001931722],"domain_scores_gemma":[0.9857749,0.00299356,0.007603886,0.0006669732,0.002379187,0.0005815419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001023488,0.0001153704,0.9892784,0.0002829359,0.00003487382,0.00236496,0.0005631509,0.00005384011,0.000282003,0.00002967317,0.0008387564,0.006053672],"study_design_scores_gemma":[0.0000252623,0.000317272,0.9885578,0.0002033587,0.00005784729,0.006881055,0.001121311,0.0001842764,0.0003204421,0.00001341107,0.002302748,0.00001526345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864703,0.003833785,0.0006297728,0.00008756467,0.00002685523,0.0008723511,0.005974015,0.00003796401,0.002067411],"genre_scores_gemma":[0.992717,0.001981239,0.0007801855,0.0001006872,0.00004186637,0.0003934198,0.003645369,0.000009273027,0.0003308845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01068686,"threshold_uncertainty_score":0.02124929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01848573954715842,"score_gpt":0.3244851014193065,"score_spread":0.3059993618721481,"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."}}