{"id":"W4307492590","doi":"10.15252/emmm.202215677","title":"The AhR‐SRC axis as a therapeutic vulnerability in BRAFi‐resistant melanoma","year":2022,"lang":"en","type":"article","venue":"EMBO Molecular Medicine","topic":"Melanoma and MAPK Pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"College of Natural Resources and Sciences, Humboldt State University; Centre Hospitalier Universitaire de Rennes; Université de Rennes 1; Institut National Du Cancer; Ligue Contre le Cancer; Institut National de la Santé et de la Recherche Médicale; CNIB; Centre National de la Recherche Scientifique; Stichting Tegen Kanker; Alliance Nationale pour les Sciences de la Vie et de la Santé","keywords":"Melanoma; Cancer research; Downregulation and upregulation; Proto-oncogene tyrosine-protein kinase Src; Dasatinib; Aryl hydrocarbon receptor; Biology; Medicine; Transcription factor; Immunology; Signal transduction; Cell biology; Gene; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001822151,0.0002290175,0.000271632,0.0001970702,0.0001630167,0.0004006113,0.0001527653,0.0002558432,0.001687833],"category_scores_gemma":[0.00008636588,0.00008186146,0.0001917969,0.0000914108,0.0002267749,0.0002510939,0.0002225557,0.0005539558,0.0002842972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003176354,"about_ca_system_score_gemma":0.0001637727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001953777,"about_ca_topic_score_gemma":0.0004838265,"domain_scores_codex":[0.9998943,0.00002059207,0.00000519591,0.00001845597,0.00003403402,0.00002736657],"domain_scores_gemma":[0.9999535,0.000006780799,0.00001586208,0.000006421921,0.000006259216,0.00001116889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001640769,0.00004924538,0.001076371,0.00005492949,0.000008583163,0.0002976866,0.00002552157,0.0002107776,0.9890574,0.000901146,0.0001456011,0.008008542],"study_design_scores_gemma":[0.00008068146,0.003341076,0.03418693,0.00002481743,0.00008800069,0.007150955,0.0002489695,0.004477734,0.9270401,0.002410977,0.02091999,0.00002982827],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823161,0.006330963,0.004111556,0.0006227272,0.00004679317,0.00004643912,0.0001921151,0.0002059055,0.006127317],"genre_scores_gemma":[0.996618,0.00129218,0.0004835486,0.00006127565,0.00001221178,0.000008877751,0.00007170999,0.000008123935,0.001444062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001687833,"threshold_uncertainty_score":0.005646348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047817633575749,"score_gpt":0.2579483852212526,"score_spread":0.2474702088854951,"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."}}