{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003281432,0.00009223034,0.0001315506,0.0001094629,0.00007349165,0.00002871625,0.00007865114,0.0001059771,0.00001197601],"category_scores_gemma":[0.00008486208,0.0001074204,0.00002366721,0.0003023384,0.00003772917,0.000007351764,0.00008918042,0.0001743444,1.975807e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007251534,"about_ca_system_score_gemma":0.0002129249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001088732,"about_ca_topic_score_gemma":0.0007298579,"domain_scores_codex":[0.9988931,0.00009299826,0.0002007208,0.0002968838,0.0002117416,0.0003045459],"domain_scores_gemma":[0.9994492,0.00001271469,0.00002521348,0.0001688779,0.0002804961,0.00006347919],"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":[0.00002195379,0.0000256798,0.002086518,0.00007299889,0.00001377441,0.00001005395,0.0001353458,0.0233254,0.9740722,0.00007480678,0.00001614431,0.000145158],"study_design_scores_gemma":[0.0007595362,0.00009865371,0.00193175,0.00003312971,0.000008167297,0.00001309541,0.0003255343,0.09874357,0.8977079,0.00008537473,0.0001648802,0.0001284005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843127,0.002607353,0.01262714,0.000178812,0.0000603799,0.0001514378,0.00001871949,0.000004981926,0.0000385523],"genre_scores_gemma":[0.9985778,0.0004686452,0.0005671202,0.00002117714,0.0001875389,0.00002175086,0.00009482711,0.00002183838,0.00003933145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07636426,"threshold_uncertainty_score":0.4380479,"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."}}