{"id":"W2562289595","doi":"10.1158/1538-7445.am2015-3034","title":"Abstract 3034: A high-content screen to identify novel chromosome instability genes","year":2015,"lang":"en","type":"article","venue":"Cancer Research","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Manitoba; University of Winnipeg; University of Manitoba","funders":"","keywords":"Biology; Gene; Chromosome instability; Gene silencing; Genetics; Carcinogenesis; Candidate gene; Phenotype; Genome instability; Telomere; Chromosome; Molecular biology; DNA; DNA damage","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002471122,0.0005879152,0.0006575061,0.0008584997,0.0002397653,0.0003118856,0.0004568452,0.0006200384,0.002806416],"category_scores_gemma":[0.000301013,0.0001916437,0.0004227172,0.0006419882,0.0001763511,0.000105267,0.0002614081,0.0003202223,0.001160178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003764098,"about_ca_system_score_gemma":0.0004208036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001361173,"about_ca_topic_score_gemma":0.00303815,"domain_scores_codex":[0.9996469,0.00005177811,0.0000307795,0.00005185085,0.0001799525,0.00003879788],"domain_scores_gemma":[0.9997835,0.00007949658,0.00003139867,0.00002187582,0.0000428443,0.00004103909],"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":[0.00004682696,0.0000279819,0.000277698,0.00003374576,0.000008293432,0.0001349078,0.000004934819,0.00007669078,0.9980125,0.00002278219,0.0001056976,0.001247753],"study_design_scores_gemma":[0.00006388922,0.0008126327,0.01361675,0.00001302082,0.0001096391,0.001918463,0.00003735603,0.002880908,0.9734868,0.00005704633,0.006986284,0.00001713288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9582627,0.003152021,0.0206509,0.00042735,0.00008942234,0.0008422026,0.009865633,0.001117887,0.005591818],"genre_scores_gemma":[0.9448025,0.002223082,0.02119708,0.0004043795,0.00002335407,0.0004364116,0.01588858,0.0002077026,0.01481702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002806416,"threshold_uncertainty_score":0.009388447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.256821028336114,"score_gpt":0.4467256235494571,"score_spread":0.1899045952133431,"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."}}