{"id":"W4220678059","doi":"10.1101/2022.03.13.483372","title":"Genome-wide CRISPR screens identify novel regulators of wild-type and mutant p53 stability","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cancer-related Molecular Pathways","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"University of Toronto; Canadian Institutes of Health Research; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Government of Ontario; University Health Network","keywords":"Mutant; Biology; Regulator; Wild type; Gene; Carcinogenesis; CRISPR; Genetics; Suppressor; Cell biology; Cancer research","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":[0.0002705891,0.0005995855,0.0004074286,0.0005423657,0.0002080919,0.0004117725,0.000363514,0.0004312418,0.001611859],"category_scores_gemma":[0.0002936504,0.000222179,0.0003740266,0.0002750839,0.0002937918,0.0001221231,0.0003754638,0.0004418837,0.0004305996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003799365,"about_ca_system_score_gemma":0.0002145798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006594544,"about_ca_topic_score_gemma":0.001579659,"domain_scores_codex":[0.999709,0.00002642833,0.00003261708,0.00007553383,0.000116626,0.00003976764],"domain_scores_gemma":[0.9996972,0.00010274,0.00009837411,0.00003120361,0.00002731206,0.00004327485],"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":[0.00004858951,0.00001342822,0.0003709962,0.00003263067,0.00001206417,0.0001068027,0.000008939873,0.0002326756,0.9975801,0.00006291759,0.00006115753,0.001469795],"study_design_scores_gemma":[0.00001451959,0.0001923376,0.006133176,0.000008795228,0.00004690933,0.0004953042,0.00002693103,0.002577339,0.9874762,0.00006282978,0.002950746,0.00001498392],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769689,0.00105551,0.0153472,0.0001272935,0.00003843392,0.0001134828,0.002914208,0.001068102,0.002366894],"genre_scores_gemma":[0.9892374,0.0004161005,0.00678628,0.00007836907,0.000007478111,0.00008366964,0.001172909,0.0001641307,0.002053776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001611859,"threshold_uncertainty_score":0.005392194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02162110513003925,"score_gpt":0.2466927655265785,"score_spread":0.2250716603965392,"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."}}