{"id":"W4362597283","doi":"10.1158/1538-7445.am2023-4755","title":"Abstract 4755: Screening non-small cell lung cancer organoids with epigenetic probes","year":2023,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Structural Genomics Consortium; University of Toronto","funders":"","keywords":"Epigenetics; Organoid; Cancer research; Carcinogenesis; DNA methylation; Biology; Epigenetic therapy; Cancer; Matrigel; Lung cancer; Medicine; Cell biology; Pathology; Genetics; Gene expression; Gene","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":[0.0002647008,0.0005937359,0.0004089489,0.0003776381,0.0002014228,0.0002211579,0.000291571,0.0003951608,0.003075101],"category_scores_gemma":[0.0001252034,0.0001962377,0.0004297314,0.0003184555,0.0001995848,0.0001717642,0.0002506719,0.0004311358,0.001100751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003261169,"about_ca_system_score_gemma":0.0003112638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001136673,"about_ca_topic_score_gemma":0.002345152,"domain_scores_codex":[0.999806,0.00003409378,0.00001372473,0.00005531487,0.00006082895,0.00003016678],"domain_scores_gemma":[0.9998786,0.00003573809,0.00001862955,0.00002238737,0.00002098511,0.00002366247],"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":[0.00005723886,0.00002960403,0.0001736689,0.00005535847,0.000005102393,0.00004345733,0.00001406318,0.0001685011,0.997549,0.00002427565,0.00008103612,0.001798792],"study_design_scores_gemma":[0.0000109389,0.0006346525,0.001662667,0.000005209527,0.00002063787,0.0001353238,0.00001841359,0.0004016643,0.9946097,0.00001186504,0.002484252,0.000004634201],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.952206,0.004507804,0.0294841,0.0002337464,0.00007357374,0.0005671816,0.005872589,0.0006649744,0.006390202],"genre_scores_gemma":[0.9320199,0.00368608,0.03100224,0.000149015,0.00001302996,0.0004893093,0.01459484,0.00009308942,0.01795255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003075101,"threshold_uncertainty_score":0.01028723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03255245304600408,"score_gpt":0.3491225101421697,"score_spread":0.3165700570961656,"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."}}