{"id":"W4407103342","doi":"10.2196/63923","title":"Exploring the Views of Dermatologists, General Practitioners, and Melanographers on the Use of AI Tools in the Context of Good Decision-Making When Detecting Melanoma: Qualitative Interview Study","year":2025,"lang":"en","type":"article","venue":"JMIR Dermatology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Context (archaeology); Global Positioning System; Telepathology; Qualitative research; Medicine; Computer science; Data science; Health care; World Wide Web; Geography; Sociology; Telemedicine; Political science; Telecommunications","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":[0.02946514,0.0007507893,0.001084922,0.002143961,0.009384372,0.005997427,0.002329311,0.003011751,0.001822334],"category_scores_gemma":[0.0425645,0.001026277,0.0004679936,0.001814047,0.01523718,0.005966856,0.0078991,0.004670258,0.0003338308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008113185,"about_ca_system_score_gemma":0.009689177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01441343,"about_ca_topic_score_gemma":0.01571322,"domain_scores_codex":[0.9728774,0.02114084,0.000821561,0.001324337,0.001451204,0.002384684],"domain_scores_gemma":[0.9468148,0.04145074,0.002821796,0.0006322819,0.003067549,0.00521275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001173252,0.000007337675,0.001187459,0.00006560906,0.000001953,0.0002997448,0.9968876,0.00001592207,0.0002736719,0.000373137,0.0001458234,0.000729987],"study_design_scores_gemma":[0.000002752785,0.00001586286,0.0003469897,0.0001067368,0.000001650097,0.0001421654,0.9968932,0.00004410214,0.00006300284,0.0001927672,0.00218372,0.000007091315],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857157,0.001389133,0.002953485,0.006111263,0.00007735937,0.0002479497,0.00008121833,0.00001649635,0.003407401],"genre_scores_gemma":[0.9942216,0.0009718111,0.001784844,0.001650019,0.00002002437,0.0002725535,0.00003334108,0.00001751454,0.001028164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02946514,"threshold_uncertainty_score":0.1558284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2101155477015192,"score_gpt":0.3978815051436742,"score_spread":0.1877659574421549,"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."}}