{"id":"W3183913095","doi":"10.1158/0008-5472.can-20-1518","title":"Modeling High-Grade Serous Ovarian Carcinoma Using a Combination of <i>In Vivo</i> Fallopian Tube Electroporation and CRISPR-Cas9–Mediated Genome Editing","year":2021,"lang":"en","type":"article","venue":"Cancer Research","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal General Hospital; Montreal Neurological Institute and Hospital; Montreal Children's Hospital; BC Cancer Agency; University of British Columbia; McGill University; McGill Genome Centre; McGill University Health Centre","funders":"Cancer Research Society","keywords":"Ovarian cancer; CRISPR; Ovarian carcinoma; Serous fluid; Cancer research; Biology; Cancer; BRCA mutation; Medicine; Pathology; Gene; Genetics","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":[0.0001998036,0.0003121968,0.0001724865,0.0003204916,0.0001300865,0.0003858986,0.0003469035,0.0003855909,0.0007743661],"category_scores_gemma":[0.00009853488,0.0001845499,0.0003012205,0.0001140008,0.0002598114,0.0001867843,0.0002767565,0.0004068338,0.0001820456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002594391,"about_ca_system_score_gemma":0.0002477296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00103072,"about_ca_topic_score_gemma":0.001008222,"domain_scores_codex":[0.9998975,0.00001436835,0.00000817346,0.00002140243,0.00003950108,0.0000190552],"domain_scores_gemma":[0.999895,0.0000170774,0.00004476466,0.0000128548,0.00001027485,0.0000200077],"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":[0.0000355113,0.0000356969,0.0005272946,0.00004301108,0.000009517054,0.00011627,0.00001781579,0.002784886,0.9936246,0.0007561285,0.00009949053,0.001949865],"study_design_scores_gemma":[0.00002828268,0.0002764118,0.001678497,0.00001430571,0.00003775377,0.0005833852,0.00002992484,0.02492726,0.9652576,0.0003518969,0.00679987,0.00001469387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8260764,0.0006688261,0.1670741,0.0002339225,0.00009978437,0.0001434493,0.0005943924,0.001021858,0.004087226],"genre_scores_gemma":[0.9570479,0.0006420509,0.03825835,0.00006765108,0.000009117553,0.0001036042,0.0003921852,0.00009892845,0.003380213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00103072,"threshold_uncertainty_score":0.002590477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03134777162215207,"score_gpt":0.3554774778367069,"score_spread":0.3241297062145548,"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."}}