{"id":"W2807310734","doi":"10.1186/s12881-018-0616-7","title":"PHACTR1 splicing isoforms and eQTLs in atherosclerosis-relevant human cells","year":2018,"lang":"en","type":"article","venue":"BMC Medical Genetics","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Cegep Edouard Montpetit; Montreal Heart Institute","funders":"Institute of Genetics; Canadian Institutes of Health Research; Fondation Institut de Cardiologie de Montréal; Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval; Institut de Cardiologie de Montréal; Canada Excellence Research Chairs, Government of Canada; McGill University","keywords":"Biology; Alternative splicing; RNA splicing; Exon; Expression quantitative trait loci; Genetics; Human genome; Gene; Genome; RNA; Single-nucleotide polymorphism","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":[0.001837947,0.0002380366,0.0004119977,0.0007323488,0.000324207,0.0008453836,0.0003457025,0.000474886,0.004257218],"category_scores_gemma":[0.002967704,0.0001574666,0.0006698227,0.00100626,0.0004244053,0.00019044,0.0004071809,0.0005397307,0.0007258204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003302298,"about_ca_system_score_gemma":0.0002180783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001066773,"about_ca_topic_score_gemma":0.001434895,"domain_scores_codex":[0.9988043,0.0002244161,0.0001084887,0.0005440647,0.0002304724,0.00008820822],"domain_scores_gemma":[0.9976108,0.001655444,0.0002725819,0.0002985609,0.000131204,0.00003146704],"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":[0.002333734,0.0001131366,0.4121745,0.001114597,0.001943629,0.002942569,0.001348699,0.00669654,0.4712095,0.006094206,0.005343369,0.0886856],"study_design_scores_gemma":[0.0005243065,0.0009108978,0.6982605,0.0004278959,0.002374578,0.01041879,0.0008315128,0.03430659,0.1670094,0.02135268,0.06339812,0.0001847232],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9296885,0.004490396,0.03931654,0.000488695,0.00008401469,0.00009467237,0.02216274,0.000350548,0.003323937],"genre_scores_gemma":[0.962541,0.001328441,0.014363,0.0006709209,0.00004613426,0.0002317009,0.0195668,0.0001897317,0.001062384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004257218,"threshold_uncertainty_score":0.01424187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01742089977466492,"score_gpt":0.2858381171034313,"score_spread":0.2684172173287663,"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."}}