{"id":"W2566444561","doi":"10.1038/srep38968","title":"A CRISPR/Cas9 Functional Screen Identifies Rare Tumor Suppressors","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Clinical Research Institute; Occupational Cancer Research Centre; Institute for Research in Immunology and Cancer; McGill University","funders":"Canadian Cancer Society Research Institute","keywords":"CRISPR; Suppressor; Cas9; Computational biology; Biology; Computer science; Genetics; Gene","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":[0.0003604491,0.0005897684,0.0004904519,0.0006173698,0.0002751295,0.0005159975,0.0004020513,0.000476097,0.001484054],"category_scores_gemma":[0.0003440109,0.0001888405,0.0003312992,0.00023773,0.0003076398,0.0001330218,0.0004030245,0.0004812979,0.0005327625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002348542,"about_ca_system_score_gemma":0.000237292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000387221,"about_ca_topic_score_gemma":0.0008698269,"domain_scores_codex":[0.9996419,0.00003594313,0.0000425561,0.00009656131,0.0001421298,0.00004092228],"domain_scores_gemma":[0.9997091,0.00009942513,0.00006414815,0.0000434939,0.00001914488,0.00006473852],"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":[0.00002848969,0.00001085337,0.0002094811,0.00001605793,0.000007861669,0.0001512446,0.000005709415,0.0001166225,0.9978288,0.0001150948,0.00003533717,0.001474423],"study_design_scores_gemma":[0.0000103039,0.0001249371,0.00180934,0.000003966567,0.00002497333,0.0009402012,0.000009957369,0.001973442,0.9931808,0.0001097755,0.001804298,0.000008020314],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947702,0.0007035133,0.04518158,0.0002450476,0.00004767525,0.0001061782,0.001598498,0.001595857,0.002819597],"genre_scores_gemma":[0.9813446,0.000417536,0.01498892,0.00006697684,0.000008908419,0.00003265028,0.0008882587,0.0001412093,0.002110954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001484054,"threshold_uncertainty_score":0.004964709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009601333199828277,"score_gpt":0.2661813204443528,"score_spread":0.2565799872445245,"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."}}