{"id":"W2795903481","doi":"10.1016/j.celrep.2018.03.063","title":"Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas","year":2018,"lang":"en","type":"article","venue":"Cell Reports","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":366,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency","funders":"National Institute of Environmental Health Sciences; National Institute on Deafness and Other Communication Disorders; National Human Genome Research Institute; Invitae; Astex Pharmaceuticals; National Cancer Institute; National Institutes of Health; Boston Scientific Corporation; Array BioPharma; Merck; Bristol-Myers Squibb","keywords":"Computational biology; Biology; Cancer research; Genetics","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":[0.0001190387,0.0002125194,0.0002242679,0.001407216,0.0002736635,0.0004258336,0.0001726667,0.000143908,0.002743739],"category_scores_gemma":[0.0002167558,0.000107597,0.000339128,0.001155551,0.0001388547,0.0002397353,0.0003885746,0.0001863119,0.0002805203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003368747,"about_ca_system_score_gemma":0.0004320541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002850171,"about_ca_topic_score_gemma":0.006720949,"domain_scores_codex":[0.9998769,0.00001368538,0.000007580166,0.00004965601,0.00002341784,0.00002879658],"domain_scores_gemma":[0.9998659,0.0000233475,0.00004146291,0.0000184684,0.00002036591,0.00003043317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008931844,0.00008455923,0.5057128,0.0005256141,0.0008337582,0.0009258115,0.0003007289,0.002572635,0.4150921,0.00208824,0.001726494,0.06924407],"study_design_scores_gemma":[0.00001869327,0.0001049761,0.9642156,0.00002132159,0.0004649921,0.00236701,0.0001905507,0.003496166,0.01823998,0.001874843,0.008989486,0.00001633926],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810805,0.001722455,0.004498755,0.0001044009,0.000009792085,0.00002828301,0.008501439,0.000190308,0.00386402],"genre_scores_gemma":[0.9905583,0.0005319482,0.002549974,0.00003007707,0.000005670782,0.00002932016,0.00501758,0.00002118147,0.001256106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002850171,"threshold_uncertainty_score":0.009178758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007467632293079559,"score_gpt":0.209196378184526,"score_spread":0.2017287458914465,"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."}}