{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002338382,0.0004989459,0.0004518446,0.0003397271,0.0001928065,0.0004893039,0.0002958665,0.0003777595,0.002227198],"category_scores_gemma":[0.0002061799,0.0001608593,0.0003581661,0.0001928245,0.0002312662,0.0001104625,0.0003149747,0.0004673677,0.0004720647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003527082,"about_ca_system_score_gemma":0.000275646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002061907,"about_ca_topic_score_gemma":0.005363591,"domain_scores_codex":[0.9997582,0.00002523376,0.00002445848,0.0000422744,0.0001049113,0.00004504612],"domain_scores_gemma":[0.999889,0.00004213671,0.00002296411,0.00001205053,0.0000111404,0.00002272281],"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":[0.00004604199,0.00002087088,0.0004434634,0.00002901255,0.00001703278,0.0001561178,0.00001313809,0.0003428186,0.9951628,0.0001532813,0.0001499012,0.003465478],"study_design_scores_gemma":[0.00001873668,0.0002491964,0.00376671,0.000005576842,0.00005178765,0.000719976,0.00002898366,0.001754182,0.9892,0.00008072212,0.004113051,0.00001106203],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788553,0.001169661,0.01157662,0.0002384916,0.00004843919,0.0001243711,0.00267036,0.0008220206,0.004494687],"genre_scores_gemma":[0.9855037,0.001006045,0.008223491,0.0001578707,0.000009427027,0.00004600599,0.001353455,0.0001320226,0.003567962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002227198,"threshold_uncertainty_score":0.0074507,"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."}}