{"id":"W3181071769","doi":"10.1158/1538-7445.am2021-1165","title":"Abstract 1165: Complementary diagnostics for precision targeting of cellular pathways","year":2021,"lang":"en","type":"article","venue":"Cancer Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"PI3K/AKT/mTOR pathway; Computational biology; Precision medicine; MAPK/ERK pathway; Transcriptome; Biological pathway; Cancer research; Medicine; Bioinformatics; Signal transduction; Biology; Gene; Genetics; Gene expression","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":[0.001795557,0.0009822171,0.0008980408,0.001281285,0.0004923546,0.002118803,0.0008245438,0.001736728,0.01110498],"category_scores_gemma":[0.001484824,0.0004621474,0.000730449,0.0008596195,0.0009621948,0.001188744,0.001213595,0.001972937,0.004169203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001107364,"about_ca_system_score_gemma":0.0009674408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005372539,"about_ca_topic_score_gemma":0.0009963646,"domain_scores_codex":[0.9985091,0.0002505628,0.00007624416,0.0003126675,0.0007563282,0.00009497954],"domain_scores_gemma":[0.9991075,0.0002721523,0.0001317884,0.0001529081,0.0002312537,0.0001042286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004792897,0.0001086763,0.001425585,0.0008339364,0.00007206118,0.0002145256,0.000070339,0.001722267,0.8833838,0.01302838,0.02129678,0.07736448],"study_design_scores_gemma":[0.0001042204,0.0005795526,0.004163815,0.000170691,0.0001097056,0.0008878105,0.00007625413,0.00969544,0.8112947,0.01322586,0.1595902,0.0001016988],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.20791,0.04891403,0.5564811,0.02893536,0.01592493,0.001237129,0.02590659,0.01490821,0.09978275],"genre_scores_gemma":[0.5122981,0.01960235,0.386064,0.01020646,0.002075758,0.0007854644,0.01233558,0.00122137,0.05541096],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01110498,"threshold_uncertainty_score":0.03714985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0666923984987266,"score_gpt":0.3623847471270701,"score_spread":0.2956923486283435,"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."}}