{"id":"W2262933321","doi":"10.1002/pmic.201500489","title":"Identification of 14‐3‐3zeta associated protein networks in oral cancer","year":2016,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"14-3-3 protein interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; University of Toronto; IONICS Mass Spectrometry (Canada); York University","funders":"Canadian Institutes of Health Research","keywords":"Proteomics; Cancer; Metastasis; Cancer research; Biology; Cancer cell; Bioinformatics; Gene; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000278579,0.00009922108,0.0001207662,0.00004662206,0.00002700133,0.00001155578,0.0001630763,0.0001658477,0.00003190101],"category_scores_gemma":[0.0003323942,0.0000819481,0.00005334073,0.0001108434,0.00005526584,0.000008668105,0.00006506999,0.0000846587,0.000007032344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006895074,"about_ca_system_score_gemma":0.00007256596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000123123,"about_ca_topic_score_gemma":0.0004627502,"domain_scores_codex":[0.999099,0.00007638473,0.0003187834,0.0002366669,0.00008638918,0.0001827759],"domain_scores_gemma":[0.9993186,0.000008023142,0.0002330943,0.0002628152,0.0001464713,0.00003099833],"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":[0.00006804667,0.00006489036,0.007966996,0.000007725482,0.00002959403,3.559092e-7,0.00001258692,0.0001302019,0.9891548,0.00007608653,0.0002103049,0.002278481],"study_design_scores_gemma":[0.0005451089,0.00006440947,0.006464147,0.00008731661,0.000007019821,8.905817e-7,0.000005835336,0.0003079177,0.9911361,0.0002884715,0.000965776,0.0001270517],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795744,0.0001531499,0.01878128,0.0003764314,0.000139678,0.0008429755,0.00003843655,0.00001129405,0.00008230937],"genre_scores_gemma":[0.9964959,0.00008295295,0.0005530751,0.00002706354,0.00007772188,0.0005594461,0.000020759,0.00002041237,0.00216269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01822821,"threshold_uncertainty_score":0.3341746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009922368075222407,"score_gpt":0.2723152212750881,"score_spread":0.2623928531998657,"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."}}