{"id":"W2752840111","doi":"10.1021/acs.analchem.7b02934","title":"Immuno-Matrix-Assisted Laser Desorption/Ionization Assays for Quantifying AKT1 and AKT2 in Breast and Colorectal Cancer Cell Lines and Tumors","year":2017,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"PI3K/AKT/mTOR signaling in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital; Genome British Columbia; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Fondation De Famille Alvin Segal; Leading Edge Endowment Fund; Jewish General Hospital; Genome British Columbia; University of Victoria; Genome Canada","keywords":"Chemistry; AKT2; Colorectal cancer; AKT1; Cancer research; Cancer; Internal medicine; Biochemistry; Signal transduction; PI3K/AKT/mTOR pathway","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":[0.0009074771,0.0009533169,0.0004163611,0.001493224,0.000376915,0.0003871266,0.0005622191,0.0004823945,0.00116967],"category_scores_gemma":[0.0006772808,0.0003388419,0.0003556098,0.0007892167,0.000320265,0.0002836904,0.0003180993,0.000769473,0.00110234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004106853,"about_ca_system_score_gemma":0.0004026501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005654861,"about_ca_topic_score_gemma":0.001866683,"domain_scores_codex":[0.9989121,0.0002042239,0.0000840424,0.0002560895,0.0004602292,0.00008326235],"domain_scores_gemma":[0.9995285,0.0001194542,0.00008907394,0.00005435533,0.0001741754,0.00003431687],"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":[0.00004003499,0.00002698658,0.0003616199,0.00008958756,0.00001148118,0.00001974544,0.00002168853,0.0000836032,0.9951637,0.00008999713,0.0001288433,0.003962816],"study_design_scores_gemma":[0.00001126215,0.0001544603,0.00444994,0.00001185362,0.00003349469,0.0002740634,0.00002084335,0.002841858,0.9882605,0.00009101919,0.00383583,0.00001480896],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4890252,0.01223077,0.4789988,0.0004169228,0.0002735722,0.0008906506,0.004356101,0.003143076,0.01066486],"genre_scores_gemma":[0.4607273,0.007169009,0.5130638,0.0005735486,0.00009548041,0.001843734,0.006356795,0.0002909889,0.00987935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001493224,"threshold_uncertainty_score":0.004799247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02085132198311671,"score_gpt":0.3139534416694381,"score_spread":0.2931021196863214,"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."}}