{"id":"W4380149104","doi":"10.1016/j.jval.2023.03.1894","title":"PCR118 Quantifying Patient Preferences for Targeted Therapies in Metastatic Melanoma: A Discrete-Choice Experiment","year":2023,"lang":"en","type":"article","venue":"Value in Health","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Pfizer (Canada)","funders":"University of Illinois at Chicago; University of Illinois at Urbana-Champaign; University of Pennsylvania","keywords":"Metastatic melanoma; Melanoma; Medicine; Targeted therapy; MEK inhibitor; Oncology; V600E; Internal medicine; Mutation; Cancer research; Cancer; MAPK/ERK pathway; Biology; Genetics","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":[0.006991112,0.0005398981,0.000659333,0.0002489262,0.0003829841,0.001281199,0.0006461233,0.00152658,0.01109639],"category_scores_gemma":[0.03462467,0.0003153181,0.0009056242,0.0003633896,0.001012647,0.0007607522,0.0005181681,0.001992466,0.0008203505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008514074,"about_ca_system_score_gemma":0.0009733291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001122077,"about_ca_topic_score_gemma":0.000751793,"domain_scores_codex":[0.996062,0.002911708,0.00009224294,0.0004590433,0.0002475407,0.00022737],"domain_scores_gemma":[0.9399248,0.05618712,0.00168433,0.001026716,0.0004352021,0.0007418718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.2498575,0.04334317,0.2062525,0.001534643,0.002228566,0.0006148674,0.00244731,0.1633167,0.03606472,0.04068292,0.00748889,0.2461682],"study_design_scores_gemma":[0.02180499,0.1158778,0.1368803,0.0002111147,0.0019268,0.0007845745,0.001706969,0.6280052,0.03228485,0.0530577,0.007016662,0.000443109],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911987,0.00007340933,0.005611815,0.0004878429,0.00003525051,0.0001998903,0.0006273622,0.00002615694,0.001739506],"genre_scores_gemma":[0.9942372,0.00003541321,0.003980913,0.0001434976,0.00001484313,0.0002728615,0.0002367314,0.000007466313,0.001071107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01109639,"threshold_uncertainty_score":0.03712112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1896000257103892,"score_gpt":0.4070844349722494,"score_spread":0.2174844092618602,"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."}}