{"id":"W4388828753","doi":"10.2196/46402","title":"Acceptance of Medical Artificial Intelligence in Skin Cancer Screening: Choice-Based Conjoint Survey","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Preprint; Conjoint analysis; Skin cancer; Cancer; Medicine; Computer science; World Wide Web; Preference; Mathematics; Internal medicine; Statistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003935085,0.0001072973,0.0002882064,0.0008544056,0.00007848795,0.00002510857,0.0002444473,0.0001151821,0.001623747],"category_scores_gemma":[0.0009188394,0.00009181718,0.00006649767,0.002280433,0.0002744956,0.0000759651,0.0001813617,0.0006485698,0.0001895183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000173843,"about_ca_system_score_gemma":0.0003094372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002317406,"about_ca_topic_score_gemma":0.00501868,"domain_scores_codex":[0.9966245,0.0003884027,0.0004838228,0.0002283331,0.00180599,0.0004689342],"domain_scores_gemma":[0.9983887,0.0007564119,0.00007545109,0.000251421,0.0003377118,0.0001902732],"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":[0.002323823,0.001011041,0.03178429,0.001046333,0.0001426523,0.0003610255,0.006258439,0.0005691636,0.00106154,0.002261429,0.01741402,0.9357662],"study_design_scores_gemma":[0.001247412,0.001050361,0.7955058,0.0009863731,0.000007713271,0.00001375513,0.004893242,0.1547185,0.03079707,0.0003442271,0.0101733,0.0002622641],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862214,0.00006192453,0.00491182,0.00531724,0.0002208017,0.001159727,0.00003774236,0.00008426254,0.001985084],"genre_scores_gemma":[0.9989854,0.0001179784,0.00004216354,0.0001028412,0.00007762996,0.0002351905,0.00003485277,0.00001482656,0.0003890778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.935504,"threshold_uncertainty_score":0.9992889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1925254959671268,"score_gpt":0.481041524265968,"score_spread":0.2885160282988412,"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."}}