{"id":"W4213047843","doi":"10.2196/36908","title":"Digital Technology in Skin Cancer Prevention and Early Detection","year":2022,"lang":"en","type":"article","venue":"Iproceedings","topic":"Skin Protection and Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Harry J. Lloyd Charitable Trust","keywords":"Sunburn; Psychological intervention; Skin cancer; Teledermatology; Medicine; Intervention (counseling); Baseline (sea); Randomized controlled trial; Internet privacy; Cancer; Family medicine; Telemedicine; Nursing; Computer science; Health care; Surgery; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000757684,0.0000494539,0.00008119694,0.0002883958,0.00009565979,0.00001954269,0.00002350034,0.00003359038,0.00006053854],"category_scores_gemma":[0.00003401835,0.00005171928,0.00001719552,0.0004358687,0.00002156682,0.0001173089,0.00005068387,0.0002210739,0.000001997497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009837947,"about_ca_system_score_gemma":0.00001474444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000530253,"about_ca_topic_score_gemma":0.000005215372,"domain_scores_codex":[0.9995521,0.000002021898,0.00009479165,0.0001503887,0.00009955895,0.0001011103],"domain_scores_gemma":[0.9998851,0.000003310809,0.0000364744,0.00002891062,0.00002297634,0.00002321077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001405939,0.00008392156,0.3090325,0.00005357422,0.00001674187,0.00001280938,0.0008930941,0.000002447452,0.06461509,0.0002437318,0.00008075035,0.6248248],"study_design_scores_gemma":[0.007712888,0.002481655,0.7180499,0.0004096884,0.00008700209,0.001731115,0.01148991,0.001429752,0.1621331,0.0143962,0.07944177,0.000637038],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966956,0.0001731318,0.0000647581,0.001258923,0.0000877222,0.0002020443,6.322463e-7,0.00008852696,0.001428619],"genre_scores_gemma":[0.9982961,0.00001071061,0.00002986213,0.000064408,0.00004349749,0.0001787445,4.490277e-7,0.000008833554,0.001367416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6241878,"threshold_uncertainty_score":0.2109051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008944201474806372,"score_gpt":0.2612976301262654,"score_spread":0.2523534286514591,"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."}}