{"id":"W2969477073","doi":"10.31557/apjcp.2019.20.8.2445","title":"Transcriptome and Network Dissection of Microsatellite Stable and Highly Instable Colorectal Cancer","year":2019,"lang":"en","type":"article","venue":"Asian Pacific Journal of Cancer Prevention","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Colorectal cancer; Transcriptome; Dissection (medical); Microsatellite; Microsatellite instability; Cancer; Biology; Computational biology; Medicine; Cancer research; Gene; Genetics; Gene expression; Anatomy","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":[0.0005662698,0.0004210786,0.000713371,0.001801356,0.0004619723,0.0007991997,0.0002879287,0.0002732208,0.001170616],"category_scores_gemma":[0.001004042,0.0002038269,0.001104365,0.002751411,0.0001974087,0.0004782107,0.0006779621,0.0004215761,0.0002186299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006096605,"about_ca_system_score_gemma":0.0006559385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003266637,"about_ca_topic_score_gemma":0.004948953,"domain_scores_codex":[0.9995763,0.00009094389,0.00002650594,0.0001699644,0.00007097831,0.00006533834],"domain_scores_gemma":[0.9995545,0.0001512593,0.0001197368,0.00004183665,0.00008640765,0.00004630877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001518642,0.0001881014,0.6936675,0.00484051,0.005273649,0.000955021,0.0009095063,0.02600542,0.1445844,0.003233032,0.0103978,0.1084263],"study_design_scores_gemma":[0.00003521746,0.0003834572,0.8977904,0.0003245838,0.003345423,0.0008361485,0.0009265896,0.05327367,0.009136891,0.00674161,0.02711539,0.00009052909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9078228,0.02182662,0.01988919,0.0008530112,0.0001304483,0.00008068677,0.04475491,0.0005171996,0.004125058],"genre_scores_gemma":[0.9475578,0.005249863,0.009488834,0.0002342599,0.00006091356,0.0001823884,0.03590076,0.0000739383,0.001251385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003266637,"threshold_uncertainty_score":0.006495237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008162190875869798,"score_gpt":0.2678504278368321,"score_spread":0.2596882369609623,"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."}}