{"id":"W1512470862","doi":"10.1038/nchembio.1809","title":"Application guide for omics approaches to cell signaling","year":2015,"lang":"en","type":"article","venue":"Nature Chemical Biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":79,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council","keywords":"Interactome; Computational biology; Omics; Biology; Proteomics; Signal transduction; Systems biology; Signaling proteins; Cell signaling; Bioinformatics; Gene; 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":[0.00196245,0.002290528,0.001278563,0.003834563,0.000737221,0.00295737,0.002511331,0.002168861,0.1265483],"category_scores_gemma":[0.007739591,0.001652017,0.001832212,0.003385107,0.0004880476,0.001776325,0.002087245,0.003206524,0.1104585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008194213,"about_ca_system_score_gemma":0.002096723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003327051,"about_ca_topic_score_gemma":0.005131898,"domain_scores_codex":[0.9989145,0.0002195867,0.0001990327,0.0001415037,0.0004310565,0.00009436188],"domain_scores_gemma":[0.9957831,0.002275212,0.0002066081,0.0004474521,0.001080559,0.0002070874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002395066,0.0001152774,0.0008681343,0.002219726,0.0001200109,0.000519829,0.0001865569,0.001747908,0.011482,0.01504591,0.7863204,0.1811349],"study_design_scores_gemma":[0.00005940277,0.00004302731,0.001147103,0.0003356332,0.00003576897,0.0005500803,0.00003469169,0.002530296,0.00339694,0.0123493,0.9794733,0.00004445199],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002046877,0.00756791,0.6162158,0.005146613,0.00184794,0.001357848,0.119222,0.1626333,0.08396163],"genre_scores_gemma":[0.006592993,0.007332005,0.7656015,0.007571301,0.0007035363,0.002865738,0.08858105,0.0302436,0.09050831],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1265483,"threshold_uncertainty_score":0.4233463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02661151571016444,"score_gpt":0.2564059337969335,"score_spread":0.2297944180867691,"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."}}