{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001670614,0.0001456263,0.0001334381,0.00001537937,0.0001553766,0.00006031286,0.0000814138,0.0001342995,0.00001309217],"category_scores_gemma":[0.0001836764,0.0001398825,0.00005132347,0.00003631316,0.0001282526,0.000001657941,0.000233487,0.00008183475,0.000003443388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001811086,"about_ca_system_score_gemma":0.00008330237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001022619,"about_ca_topic_score_gemma":0.0001116137,"domain_scores_codex":[0.9990257,0.0000185734,0.0002103762,0.0004037445,0.000059283,0.0002823175],"domain_scores_gemma":[0.9992576,0.00002296797,0.0001552019,0.0004086778,0.0000755894,0.00007992151],"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":[0.00008412557,0.00006689917,0.1373034,0.00003797055,0.00003980422,0.0005222379,0.0002170836,0.0001437481,0.8280337,0.0001317057,0.02574307,0.007676273],"study_design_scores_gemma":[0.0004866017,0.0007614753,0.1544488,0.00001781185,0.00005087821,0.0009293815,0.00009843097,0.00003426405,0.2915419,0.0009568322,0.5500165,0.000657065],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709579,0.01050325,0.00008943737,0.00002909515,0.0007172083,0.0001286023,0.000005901772,0.00001503361,0.01755358],"genre_scores_gemma":[0.995994,0.0002635822,0.0005201772,0.0002510801,0.001447009,0.000008874968,0.00005252183,0.00002457299,0.001438124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5364918,"threshold_uncertainty_score":0.5704244,"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."}}