{"id":"W2150952405","doi":"10.1002/pmic.200900266","title":"Experimental and computational tools useful for (re)construction of dynamic kinase–substrate networks","year":2009,"lang":"en","type":"review","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Effector; Context (archaeology); Phosphorylation; Kinase; Computational biology; Computer science; Throughput; Proteomics; Systems biology; Biology; Cell biology; Biochemistry; Gene","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":[0.001915585,0.001574899,0.001818819,0.00191759,0.0004550523,0.001332756,0.00232045,0.0009371365,0.004383554],"category_scores_gemma":[0.002583321,0.0009687828,0.001197053,0.00240214,0.0009555685,0.002565938,0.001096635,0.002365669,0.00267656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008742211,"about_ca_system_score_gemma":0.001005867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001195971,"about_ca_topic_score_gemma":0.001258059,"domain_scores_codex":[0.9995572,0.0001214193,0.00004381642,0.0001059705,0.0001549185,0.00001661875],"domain_scores_gemma":[0.9987885,0.0007440749,0.00006358549,0.0001984781,0.0001767394,0.00002869444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007498234,0.0001559085,0.000774983,0.006897758,0.0003829076,0.0004434515,0.0001287635,0.1580674,0.02484474,0.1823562,0.01686456,0.6090084],"study_design_scores_gemma":[0.0001210638,0.00009459907,0.001265093,0.001125264,0.00023991,0.0008009943,0.0001163342,0.3328729,0.03090864,0.2339125,0.3983562,0.0001864594],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.004473205,0.06066441,0.9173442,0.001124132,0.0004755387,0.0001255978,0.0009844364,0.002691983,0.01211652],"genre_scores_gemma":[0.02589435,0.1048945,0.8633161,0.0002677645,0.0002475293,0.0005405319,0.001660538,0.0004877335,0.002690937],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004383554,"threshold_uncertainty_score":0.01466447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03615357643868291,"score_gpt":0.3369595672903739,"score_spread":0.300805990851691,"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."}}