{"id":"W2967946563","doi":"10.15252/msb.20188679","title":"CRISPR screens are feasible in TP53 wild‐type cells","year":2019,"lang":"en","type":"letter","venue":"Molecular Systems Biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; University of Toronto","funders":"","keywords":"Library science; Computer science","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0002543638,0.0006316976,0.0008185131,0.0002811232,0.00003771373,0.00004523882,0.0006277008,0.002376665,0.0000127392],"category_scores_gemma":[0.00005876668,0.0006424041,0.0002497002,0.0002259362,0.00008519611,0.000002903038,0.0002683107,0.0009554604,0.0001150683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005764985,"about_ca_system_score_gemma":0.0001324267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004047571,"about_ca_topic_score_gemma":0.00005737732,"domain_scores_codex":[0.9968797,0.0003321105,0.0005860995,0.001138091,0.0001895482,0.0008744319],"domain_scores_gemma":[0.9982621,0.0000290548,0.0002537969,0.001232541,0.0001492313,0.00007329098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002651029,0.00002384708,0.0007640467,0.0004051465,0.0001643586,0.0003548299,0.00001299769,0.002992764,0.4435687,0.00002734929,0.5515866,0.00007284973],"study_design_scores_gemma":[0.0005877236,0.0003450624,0.00008817822,0.0001825161,0.00004932179,0.00009446469,0.0000326681,0.000280581,0.05548616,0.00001980043,0.9419978,0.0008357263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.252973,0.2841,0.1923861,0.1628643,0.05721685,0.01597833,0.002570814,0.0007444913,0.03116599],"genre_scores_gemma":[0.7890424,0.001283736,0.0006202886,0.1862844,0.006289167,0.000242044,0.004883528,0.0005334286,0.01082102],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5360693,"threshold_uncertainty_score":0.9996027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01049537648988766,"score_gpt":0.2958816565517814,"score_spread":0.2853862800618938,"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."}}