{"id":"W3172767700","doi":"10.1158/1557-3265.ovcasymp18-gmm-030","title":"Abstract GMM-030: MODELS AND ANALYTIC TECHNIQUES OF MULLERIAN TISSUE-DERIVED ORGANOIDS","year":2019,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Organoid; Matrigel; Biology; Carcinogenesis; Ovarian cancer; Cancer research; Serous fluid; Progenitor cell; Stem cell; Cellular differentiation; Cell biology; Cancer; Angiogenesis; Genetics; 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":[0.001515576,0.0007546865,0.0004235352,0.001457019,0.0007816227,0.0009815118,0.001264647,0.0008927014,0.002822479],"category_scores_gemma":[0.0006919361,0.0005550013,0.0008708253,0.0006980008,0.0006331282,0.0005176367,0.001289162,0.001679336,0.002866169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102305,"about_ca_system_score_gemma":0.0008585884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002585109,"about_ca_topic_score_gemma":0.003361848,"domain_scores_codex":[0.9991497,0.0001451302,0.00009250373,0.0001780703,0.0003443773,0.00009023851],"domain_scores_gemma":[0.9992201,0.000154254,0.0001461937,0.000220147,0.0001369277,0.0001223072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000141354,0.00007454774,0.0008351045,0.0002598701,0.00002007771,0.0006453338,0.0003667255,0.00329755,0.977101,0.005247928,0.0009262573,0.01108419],"study_design_scores_gemma":[0.00003903644,0.0004251395,0.002645819,0.0001281024,0.00005515277,0.001689802,0.0002093514,0.01226894,0.8928342,0.001542238,0.08809194,0.00007024462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1790173,0.005348275,0.7752703,0.0007971511,0.0004945018,0.002769766,0.01067004,0.003642674,0.02198998],"genre_scores_gemma":[0.4155109,0.004541712,0.5459242,0.000224395,0.0000527601,0.004434422,0.009457673,0.0008092574,0.01904458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002822479,"threshold_uncertainty_score":0.009442151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2760829646416126,"score_gpt":0.5471925888043477,"score_spread":0.2711096241627352,"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."}}