{"id":"W2087176569","doi":"10.1038/jid.2014.552","title":"eIF4E Is an Adverse Prognostic Marker of Melanoma Patient Survival by Increasing Melanoma Cell Invasion","year":2015,"lang":"en","type":"article","venue":"Journal of Investigative Dermatology","topic":"Peptidase Inhibition and Analysis","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vancouver Coastal Health Research Institute; University of British Columbia; Vancouver Coastal Health","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Health Canada; Canadian Dermatology Foundation; Cancer Research Institute","keywords":"Melanoma; Cancer research; EIF4E; Medicine; Tissue microarray; Metastasis; Downregulation and upregulation; Pathology; Cancer; Oncology; Biology; Internal medicine; Messenger RNA; Translation (biology); Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004163555,0.0003373015,0.0003299413,0.0005033413,0.0002209946,0.0005295055,0.0001487822,0.0003023706,0.002117053],"category_scores_gemma":[0.0007103254,0.0001737183,0.0003708076,0.0004449848,0.0001631943,0.0002009609,0.0001829661,0.0005134069,0.0002793089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002225368,"about_ca_system_score_gemma":0.0002403849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004327073,"about_ca_topic_score_gemma":0.0005363848,"domain_scores_codex":[0.9997904,0.00004957899,0.00002149262,0.00003436084,0.00006023802,0.0000440736],"domain_scores_gemma":[0.9996785,0.00006754602,0.000131221,0.00002577268,0.00003673352,0.00006028817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01169874,0.0004768796,0.6370224,0.0003356265,0.0006888107,0.0007720172,0.00006774352,0.0009720922,0.2872272,0.000250986,0.001896241,0.05859134],"study_design_scores_gemma":[0.0001292083,0.001107211,0.9081638,0.0000301921,0.0004503363,0.002129589,0.0001197553,0.002056878,0.07960317,0.0002357712,0.005954063,0.00002001518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932622,0.003436325,0.0008841723,0.0002441236,0.00006271306,0.00001886228,0.0005803442,0.00005269036,0.001458371],"genre_scores_gemma":[0.9965604,0.0007278156,0.001009084,0.00007343816,0.00003392472,0.00001542434,0.0005691772,0.000007544584,0.001003083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002117053,"threshold_uncertainty_score":0.007082283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03533964190304378,"score_gpt":0.2660481979698739,"score_spread":0.2307085560668301,"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."}}