{"id":"W4389992286","doi":"10.3390/cells13010019","title":"Promising and Minimally Invasive Biomarkers: Targeting Melanoma","year":2023,"lang":"en","type":"article","venue":"Cells","topic":"Melanoma and MAPK Pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Melanoma; Tumour heterogeneity; Biomarker; Medicine; Targeted therapy; Liquid biopsy; Immunotherapy; Cancer; Bioinformatics; Computational biology; Biology; Cancer research; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001526924,0.0007770575,0.0009125342,0.00142679,0.0002586983,0.00197726,0.0006495896,0.001641979,0.002660281],"category_scores_gemma":[0.001930895,0.0003488275,0.0007026286,0.0006161377,0.001002378,0.002366584,0.0009292215,0.002177507,0.001264089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005838074,"about_ca_system_score_gemma":0.0005410244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003187718,"about_ca_topic_score_gemma":0.0007466716,"domain_scores_codex":[0.9992793,0.0002518636,0.00003876624,0.000120432,0.0002429514,0.00006684325],"domain_scores_gemma":[0.9992204,0.0003820681,0.0001136516,0.00003985867,0.000174196,0.00006986933],"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":[0.0006865684,0.0002060878,0.004677704,0.01008048,0.0002957866,0.001640224,0.0003077007,0.001658821,0.15082,0.02966872,0.02784288,0.772115],"study_design_scores_gemma":[0.0001165835,0.001553859,0.005505665,0.003153961,0.0004267817,0.009482388,0.0005231234,0.004046818,0.1167471,0.04318195,0.8150628,0.0001990205],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01197924,0.9307927,0.03357605,0.01153773,0.001798415,0.0001033456,0.0003042353,0.0002484155,0.009659899],"genre_scores_gemma":[0.1948384,0.7304872,0.04857569,0.01127745,0.003214322,0.0003082036,0.0007605065,0.00009903331,0.0104392],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002660281,"threshold_uncertainty_score":0.00889951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148199352098975,"score_gpt":0.2214415800887308,"score_spread":0.2099595865677411,"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."}}