{"id":"W4200119082","doi":"10.2196/35440","title":"The Clinical Utility of a Handheld Elastic Scattering Spectroscopy Tool and Machine Learning in the Diagnosis and Referral Management of Skin Cancer by Primary Care Physicians","year":2021,"lang":"en","type":"article","venue":"Iproceedings","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Referral; Biopsy; Gold standard (test); Cancer; Clinical trial; Skin cancer; Teledermatology; Physical examination; Radiology; Medical physics; Telemedicine; Health care; Internal medicine; Nursing","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":[0.0001792142,0.00008844534,0.0001581683,0.00001910693,0.0000703898,0.00003216626,0.000108771,0.00003500649,0.000005333481],"category_scores_gemma":[0.00001708104,0.00006627558,0.00003553681,0.0002476692,0.0001426343,0.00005656461,0.0000638233,0.0002281491,1.931892e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001523623,"about_ca_system_score_gemma":0.000006222983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000411571,"about_ca_topic_score_gemma":0.00005010565,"domain_scores_codex":[0.9993218,0.00001331295,0.0002410703,0.000161671,0.0001205131,0.0001415914],"domain_scores_gemma":[0.9996414,0.0001617537,0.00004369198,0.00009606851,0.00003847172,0.00001857967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005268777,0.000159569,0.76251,0.002590423,0.000199317,0.000003192508,0.004340174,0.0001019789,0.01671553,0.001158321,0.0005835681,0.2115852],"study_design_scores_gemma":[0.0005984712,0.0001000384,0.9712568,0.0005417723,0.0001407913,0.000002125081,0.004252252,0.005025544,0.01560394,0.0003891711,0.001873938,0.0002151443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942082,0.003816631,0.0001899682,0.0002308167,0.00002348468,0.0001921095,0.00001739026,0.00002278541,0.001298663],"genre_scores_gemma":[0.9957183,0.003629378,0.0004537276,0.00003016284,0.00001603265,0.0001321448,0.00000398254,0.000009794875,0.000006495794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2113701,"threshold_uncertainty_score":0.270264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02326595793127613,"score_gpt":0.2872603174304028,"score_spread":0.2639943594991267,"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."}}