{"id":"W4414823153","doi":"10.1016/j.ejcskn.2025.100757","title":"Defining melanoma quality indicators: A modified Delphi approach","year":2025,"lang":"en","type":"article","venue":"EJC Skin Cancer","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"William Osler Health System; Doug Bragg Enterprises (Canada); Sunnybrook Health Science Centre; University of Toronto; Western University; Health Sciences Centre; McMaster University Medical Centre; Women's College Hospital; Lakeridge Health; University of Ottawa; Oakville Public Library; Mount Sinai Hospital; Princess Margaret Cancer Centre; McMaster University; Queen's University; Cancer Care Ontario","funders":"Ontario Ministry of Health and Long-Term Care; Cancer Care Ontario","keywords":"Delphi method; Likert scale; Delphi; Quality (philosophy); Quality assurance; Melanoma; Mucosal melanoma; Health care","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002732028,0.0001297344,0.000230358,0.0003356315,0.0005052311,0.0001283797,0.0007574363,0.0002295998,0.0003002712],"category_scores_gemma":[0.0006986164,0.0001311856,0.00009324915,0.001510764,0.0004160808,0.000141045,0.0001807682,0.0003645492,0.00003059802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005390473,"about_ca_system_score_gemma":0.001053016,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01955484,"about_ca_topic_score_gemma":0.002502164,"domain_scores_codex":[0.9974732,0.0004907345,0.0003166046,0.0004125125,0.0007589964,0.0005479867],"domain_scores_gemma":[0.9988618,0.000416813,0.0001069961,0.0003739692,0.0001113697,0.0001290813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007405045,0.0001767588,0.03064129,0.00009584147,0.0001102613,0.000007334818,0.01721007,0.00008395451,0.00007457855,0.7564387,0.05689706,0.1381901],"study_design_scores_gemma":[0.001890015,0.00007158425,0.08926745,0.0004032025,0.00008329791,0.000001587666,0.02810078,0.0009207593,0.00382162,0.06135899,0.8126627,0.001418072],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1518008,0.002406697,0.007753163,0.006468231,0.0005519399,0.0008844202,0.00004128766,0.0005081958,0.8295853],"genre_scores_gemma":[0.9923758,0.0002119694,0.002503845,0.0004657035,0.0001683027,0.0005633772,0.000005783665,0.00001491142,0.003690341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.840575,"threshold_uncertainty_score":0.986974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1022740228994515,"score_gpt":0.4835386961224877,"score_spread":0.3812646732230362,"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."}}