{"id":"W4290599871","doi":"10.3390/ijms23158774","title":"Identification of Novel Regulators of Radiosensitivity Using High-Throughput Genetic Screening","year":2022,"lang":"en","type":"review","venue":"International Journal of Molecular Sciences","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; Canadian Nuclear Laboratories; University of Ottawa","funders":"Atomic Energy of Canada Limited","keywords":"Biology; CRISPR; Radioresistance; Computational biology; Radiosensitivity; DNA repair; Transcriptome; DNA damage; DNA microarray; RNA interference; Gene; Genome; Genetics; RNA; DNA; Gene expression; Medicine","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":[0.0007973983,0.0008740224,0.001497902,0.000933192,0.0004102073,0.001461689,0.0006834223,0.0007069228,0.001548046],"category_scores_gemma":[0.0006829352,0.000295225,0.001005414,0.0008944349,0.00037914,0.0004811979,0.0004918214,0.0009918478,0.000717738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007435271,"about_ca_system_score_gemma":0.0007227669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005870157,"about_ca_topic_score_gemma":0.001133801,"domain_scores_codex":[0.9995732,0.00004214333,0.00003060941,0.0001266128,0.0001730149,0.00005446102],"domain_scores_gemma":[0.9995881,0.0001497363,0.0001064263,0.00003158093,0.00007269481,0.00005148289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002288752,0.00009193148,0.00259672,0.0007391917,0.0001098507,0.0002955181,0.00004258129,0.002961059,0.964975,0.001169268,0.000976472,0.02581345],"study_design_scores_gemma":[0.0001385886,0.001002632,0.03423944,0.0001684326,0.000775484,0.001109454,0.0001985272,0.03218951,0.8682116,0.002636399,0.05917282,0.0001570653],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.7802394,0.04669027,0.1382296,0.001944386,0.0005752635,0.0007599985,0.01553113,0.005320592,0.01070938],"genre_scores_gemma":[0.8654255,0.03669952,0.07462424,0.001015875,0.0001630166,0.0007126229,0.01549415,0.0004530696,0.005411966],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.001548046,"threshold_uncertainty_score":0.005394638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03938327566763657,"score_gpt":0.3769800549015903,"score_spread":0.3375967792339537,"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."}}