{"id":"W1964362163","doi":"10.1016/j.molcel.2012.05.037","title":"Tissue-Specific Alternative Splicing Remodels Protein-Protein Interaction Networks","year":2012,"lang":"en","type":"article","venue":"Molecular Cell","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":459,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Exon; Biology; Alternative splicing; RNA splicing; Dynamin; Protein–protein interaction; Computational biology; Cell biology; Genetics; Endocytosis; Gene; Receptor","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":[0.0006232309,0.0002955274,0.0003201481,0.0004646947,0.0004639927,0.001022471,0.0006826522,0.0004843897,0.001786504],"category_scores_gemma":[0.000747361,0.0003677494,0.0003994939,0.0004070505,0.0005576002,0.001626641,0.0008163914,0.0007209899,0.001333352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00044682,"about_ca_system_score_gemma":0.0002120893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001612419,"about_ca_topic_score_gemma":0.0004867836,"domain_scores_codex":[0.9996337,0.000081268,0.00001978988,0.0001237128,0.0000858895,0.00005564774],"domain_scores_gemma":[0.9992903,0.0002236914,0.0001385363,0.0001622036,0.00008253178,0.0001025855],"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":[0.0001008045,0.0000298451,0.002865755,0.00005051843,0.0000404508,0.0005745559,0.0001168076,0.001718431,0.9715997,0.01031116,0.0004637762,0.01212825],"study_design_scores_gemma":[0.00005250474,0.0002100755,0.04853515,0.00002786023,0.000142818,0.003962703,0.0004499606,0.06687254,0.8209864,0.02972737,0.02898049,0.00005215874],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9329234,0.001957668,0.05816134,0.0007198348,0.00008487626,0.0000162984,0.0001726596,0.0006487818,0.005315089],"genre_scores_gemma":[0.9894586,0.0008532183,0.007098354,0.0001294399,0.00005109476,0.00001389204,0.0003713972,0.00009437426,0.001929682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001786504,"threshold_uncertainty_score":0.005976439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01571470113485828,"score_gpt":0.2710984037927223,"score_spread":0.255383702657864,"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."}}