{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001522685,0.0001781947,0.0005866405,0.0002596397,0.0002255483,0.00005340201,0.0001757164,0.0001203846,0.00009503471],"category_scores_gemma":[0.00008235703,0.0001079127,0.00008851197,0.0005773607,0.001816241,0.0000866501,0.0001733915,0.0006861832,0.0000118457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006812493,"about_ca_system_score_gemma":0.0002922627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001497007,"about_ca_topic_score_gemma":0.0003215324,"domain_scores_codex":[0.998076,0.0002412405,0.0005741746,0.0003647798,0.0002636059,0.000480187],"domain_scores_gemma":[0.9985589,0.0006610035,0.000139529,0.0003930786,0.0001718199,0.00007570915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01943767,0.0002342233,0.4579384,0.0004954017,0.00392276,0.0003967548,0.001912398,0.00001150589,0.4444116,0.00003701241,0.0008149606,0.07038727],"study_design_scores_gemma":[0.005734316,0.001499178,0.966635,0.0004756674,0.000159077,0.0005169165,0.003972464,0.0001950113,0.01797254,0.00004827517,0.002610115,0.0001813719],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586196,0.03798426,4.615135e-7,0.002461016,0.0001184844,0.0006082352,0.0000108692,0.00004512447,0.0001519792],"genre_scores_gemma":[0.9573942,0.04206203,0.0000238761,0.00003473829,0.00006484463,0.00008845038,0.000018991,0.00003119821,0.0002816437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5086966,"threshold_uncertainty_score":0.6692017,"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."}}