{"id":"W3126538193","doi":"10.1007/s00432-021-03545-2","title":"Personalized oncology and BRAFK601N melanoma: model development, drug discovery, and clinical correlation","year":2021,"lang":"en","type":"article","venue":"Journal of Cancer Research and Clinical Oncology","topic":"Melanoma and MAPK Pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; Ottawa Regional Cancer Foundation; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Institute of Cancer Research; Terry Fox Research Institute","keywords":"Melanoma; Medicine; Cancer research; Trametinib; Oncology; Internal medicine; MEK inhibitor; Hematology; Drug development; Drug; Pharmacology; Biology; MAPK/ERK pathway; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003851232,0.0001327446,0.0006052062,0.00006858589,0.0001540827,0.00004834004,0.0001374808,0.0004491409,0.00002713558],"category_scores_gemma":[0.001082225,0.0001065616,0.0001216448,0.00007886688,0.000786244,0.00002422493,0.0003313218,0.0008520662,0.000001556513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006841384,"about_ca_system_score_gemma":0.003415416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002152526,"about_ca_topic_score_gemma":0.0008587965,"domain_scores_codex":[0.9970595,0.0009088201,0.001024323,0.0004059681,0.0002723318,0.0003290075],"domain_scores_gemma":[0.9976723,0.000822289,0.0003723201,0.0001403703,0.0005496399,0.0004430839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00902791,0.002021903,0.4563664,0.0001161458,0.001364946,0.0007007548,0.0005437757,0.00001850412,0.02541892,0.002283662,0.02410349,0.4780336],"study_design_scores_gemma":[0.0188091,0.01535664,0.1376889,0.0001504862,0.0002801532,0.001103883,0.001302985,0.001423294,0.004688848,0.003655476,0.8150082,0.0005320332],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842792,0.00978805,0.001062966,0.003084712,0.0004351272,0.0001225066,0.00001053137,0.00000218704,0.001214773],"genre_scores_gemma":[0.9398984,0.05122736,0.003273745,0.0006945184,0.0009565703,0.00001031262,0.00001799871,0.00001810862,0.003902975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7909048,"threshold_uncertainty_score":0.6058801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1327775375143624,"score_gpt":0.4965402220445008,"score_spread":0.3637626845301384,"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."}}