{"id":"W3024901656","doi":"10.1080/23723556.2020.1758541","title":"<i>In vivo</i> CRISPR screens reveal potent driver mutations in head and neck cancers","year":2020,"lang":"en","type":"article","venue":"Molecular & Cellular Oncology","topic":"Cancer-related Molecular Pathways","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research","keywords":"CRISPR; Notch signaling pathway; Head and neck; Cancer research; Suppressor; Biology; Head and neck cancer; Gene; Head and neck squamous-cell carcinoma; In vivo; Computational biology; Genetics; Medicine; Cancer","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001717994,0.0002798031,0.000620972,0.000235254,0.00004826051,0.00001242386,0.0001274955,0.0003371157,0.0001236351],"category_scores_gemma":[0.0001256708,0.0003182057,0.0001365085,0.0006121962,0.0001836168,0.00006274035,0.0001156306,0.0006741277,0.00003927514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008096616,"about_ca_system_score_gemma":0.0006708859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001517428,"about_ca_topic_score_gemma":0.001018206,"domain_scores_codex":[0.9977686,0.0002065469,0.0005070161,0.0006819233,0.0002900539,0.0005458165],"domain_scores_gemma":[0.9990699,0.00003814547,0.0001110566,0.0003164983,0.00007626071,0.0003881376],"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":[0.0004046621,0.0001920218,0.002046735,0.00009143684,0.00008338964,0.0146682,0.001504657,0.002029096,0.9741201,0.0003065337,0.00282015,0.001732967],"study_design_scores_gemma":[0.02158883,0.004113576,0.005763131,0.000372297,0.0005005783,0.0006546187,0.0009109192,0.008256,0.7408194,0.000383932,0.2156068,0.001029924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679402,0.00315009,0.005670342,0.01601088,0.0002276308,0.001086181,0.00002563529,0.00006210592,0.005826925],"genre_scores_gemma":[0.9828526,0.0001666718,0.003611818,0.01290212,0.00009755845,0.00007950883,0.00004967463,0.00006943964,0.000170582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2333008,"threshold_uncertainty_score":0.999927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01597218921436499,"score_gpt":0.278251673247533,"score_spread":0.262279484033168,"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."}}