{"id":"W2809197883","doi":"10.2217/mmt-2017-0026","title":"Combination Therapy for Metastatic Melanoma: A Pharmacist’s Role, Drug Interactions &amp; Complementary Alternative Therapies","year":2018,"lang":"en","type":"review","venue":"Melanoma Management","topic":"Melanoma and MAPK Pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Royal Victoria Hospital","funders":"","keywords":"Medicine; Pharmacist; Vemurafenib; Metastatic melanoma; Drug; Intensive care medicine; Dabrafenib; Oncology; Trametinib; Melanoma; Internal medicine; Pharmacology; Cancer; Pharmacy; Cancer research; Nursing","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":[0.0005094546,0.0005764944,0.0008692971,0.001485517,0.0002975417,0.0008770194,0.0006472857,0.00124355,0.004680556],"category_scores_gemma":[0.0008655603,0.000172606,0.0005010241,0.001246303,0.0004372908,0.001471162,0.0005403313,0.002546579,0.001642343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006365199,"about_ca_system_score_gemma":0.0006874854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007103813,"about_ca_topic_score_gemma":0.002613416,"domain_scores_codex":[0.9997671,0.00005898226,0.00003028353,0.0000303933,0.00009558958,0.00001764195],"domain_scores_gemma":[0.9995541,0.0002502062,0.00005462967,0.00001027958,0.00009510697,0.00003568856],"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":[0.00004105135,0.0000556161,0.0001331471,0.009565092,0.00007158179,0.0002675662,0.00005386268,0.0001698278,0.0005001014,0.003842515,0.06395601,0.9213436],"study_design_scores_gemma":[0.000014494,0.00004712691,0.0003862533,0.003313387,0.00005427079,0.001798508,0.00004289653,0.00005458118,0.0001014512,0.001581498,0.9925959,0.000009587406],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007361237,0.9962843,0.0001087872,0.001298289,0.0004632427,0.00000472777,0.0000134801,0.000006082498,0.001747419],"genre_scores_gemma":[0.0008761922,0.9961817,0.0002424786,0.0009025252,0.0005602247,0.000007029352,0.00002094232,0.000001779116,0.001207159],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004680556,"threshold_uncertainty_score":0.01565796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08007154233816013,"score_gpt":0.3657265639335599,"score_spread":0.2856550215953998,"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."}}