{"id":"W2949129918","doi":"10.2196/13376","title":"Development of Smartphone Apps for Skin Cancer Risk Assessment: Progress and Promise","year":2019,"lang":"en","type":"article","venue":"JMIR Dermatology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Skin cancer; Smartphone application; Health care; Medicine; Population; Cancer screening; App store; Cancer; Internet privacy; Computer science; Environmental health; Multimedia; World Wide Web","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":[0.00006893826,0.00009963651,0.0002950331,0.00009801662,0.00004369701,0.00000641165,0.00003868002,0.0000735971,0.0001170485],"category_scores_gemma":[0.000005665624,0.00008486453,0.00003774026,0.00006729052,0.0000479097,0.00002269397,0.00004454197,0.00007867671,0.000013406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004136716,"about_ca_system_score_gemma":0.00009939968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000652601,"about_ca_topic_score_gemma":0.00003699724,"domain_scores_codex":[0.9992597,0.00002102492,0.0002528572,0.0001987782,0.00009594036,0.0001716624],"domain_scores_gemma":[0.9995623,0.00002739698,0.0001399252,0.0001464141,0.00006258472,0.00006135517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001438793,0.0008992371,0.5522457,0.005132191,0.0008897905,0.00009052206,0.003380543,0.000003054228,0.009054272,0.001663649,0.006521989,0.4186803],"study_design_scores_gemma":[0.01005919,0.0004096526,0.3373467,0.0002511949,0.0002280683,0.001244056,0.000861189,0.002244064,0.03142405,0.0001606061,0.615393,0.0003781677],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953774,0.0002380248,0.0003457092,0.0006568989,0.0002023857,0.002039511,0.000005945717,0.00003908778,0.001095038],"genre_scores_gemma":[0.9876225,0.00005143888,0.01024607,0.0001275385,0.00001841421,0.0008491626,0.00001266837,0.00001519925,0.001057005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.608871,"threshold_uncertainty_score":0.3460675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01042402950885759,"score_gpt":0.3068449461930381,"score_spread":0.2964209166841806,"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."}}