{"id":"W4389240145","doi":"10.1158/2326-6074.tumimm23-a035","title":"Abstract A035: Comparing the clinical and genomic landscapes of acral, mucosal, and cutaneous metastatic melanomas treated with immune checkpoint inhibitors","year":2023,"lang":"en","type":"article","venue":"Cancer Immunology Research","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Jewish General Hospital","funders":"","keywords":"Medicine; Melanoma; Mucosal melanoma; Oncology; Malignancy; Internal medicine; Metastatic melanoma; Cancer; Immunotherapy; Immune checkpoint; Cohort; Pembrolizumab; Cancer research","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001801848,0.00009588419,0.0002225078,0.0005318814,0.0001630471,0.0003569489,0.000147656,0.0001440198,0.002073197],"category_scores_gemma":[0.0004923616,0.00006558442,0.000272055,0.0008069078,0.00009492766,0.0001324041,0.0002122477,0.0001462207,0.0002068758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001777917,"about_ca_system_score_gemma":0.0001348353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001151414,"about_ca_topic_score_gemma":0.001372215,"domain_scores_codex":[0.9998732,0.00002357203,0.00001192853,0.00004572028,0.0000221999,0.00002339291],"domain_scores_gemma":[0.9996692,0.00007790347,0.0001555175,0.00001990042,0.00002942359,0.00004805951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001402223,0.00005260398,0.9796401,0.00006521714,0.0001255341,0.000241406,0.00004236733,0.0002540879,0.01005035,0.00003867881,0.0004961553,0.007591152],"study_design_scores_gemma":[0.0000167685,0.000133027,0.9971687,0.000006562979,0.00007082254,0.0005962648,0.00007267276,0.0004003705,0.0009602548,0.00004542652,0.0005269855,0.000002194167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970493,0.000246892,0.0001138933,0.00002672886,0.000001679507,0.000005988956,0.002209552,0.000007060201,0.0003389572],"genre_scores_gemma":[0.9977803,0.00006554994,0.0001291579,0.0000207128,0.000003128474,0.000008012958,0.001884818,0.000002771051,0.0001055928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002073197,"threshold_uncertainty_score":0.006935537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.102369778372288,"score_gpt":0.402273994166284,"score_spread":0.299904215793996,"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."}}