{"id":"W7033397439","doi":"","title":"Predictive carboplatin treatment response models for epithelial ovarian cancer : comparison of 2D, 3D and in-vivo models","year":2021,"lang":"en","type":"other","venue":"Open MIND","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Cancer Research; Université de Montréal","keywords":"Carboplatin; Epithelial ovarian cancer; Ovarian cancer; In vivo; Tumor cells","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001012383,0.0006965077,0.0006668068,0.0009330809,0.0001727953,0.001263163,0.0005934796,0.0008278263,0.001535963],"category_scores_gemma":[0.0008405132,0.0004178603,0.001086089,0.0007142785,0.0002853987,0.0005643936,0.0004001897,0.0008966026,0.0003453254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008493521,"about_ca_system_score_gemma":0.0007463073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00396766,"about_ca_topic_score_gemma":0.003575403,"domain_scores_codex":[0.9995498,0.0001395446,0.00003158532,0.00007759611,0.0001590056,0.00004244862],"domain_scores_gemma":[0.999403,0.0002783749,0.0001122115,0.00007636424,0.00008390084,0.00004610739],"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":[0.003583818,0.001352169,0.01451609,0.002058511,0.0004213009,0.000492195,0.0005111052,0.2038989,0.7028111,0.003879731,0.001996221,0.06447885],"study_design_scores_gemma":[0.0002608407,0.0032732,0.01946276,0.000133038,0.0005438806,0.0008284877,0.0003697055,0.5508336,0.402928,0.001666593,0.01953529,0.0001646191],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7564937,0.01809597,0.2125486,0.0008204271,0.0002375373,0.0006053865,0.003323663,0.001057237,0.006817435],"genre_scores_gemma":[0.9455855,0.009768877,0.03798686,0.0001633351,0.00003375024,0.0006001345,0.001932383,0.0001522549,0.003776922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00396766,"threshold_uncertainty_score":0.007889152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09273069877796287,"score_gpt":0.3764529270579586,"score_spread":0.2837222282799957,"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."}}