{"id":"W3115106661","doi":"10.1371/journal.pone.0244549","title":"Carboplatin sensitivity in epithelial ovarian cancer cell lines: The impact of model systems","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Institute of Cancer Research; Fonds de Recherche du Québec - Santé; Canada First Research Excellence Fund; Cancer Research Society; Mitacs; Canadian Cancer Society Research Institute; Ovarian Cancer Canada","keywords":"Carboplatin; Spheroid; Cell culture; Flow cytometry; 3D cell culture; Cancer research; Ovarian cancer; Drug; Medicine; Oncology; Cancer; Biology; Internal medicine; Immunology; Pharmacology; Chemotherapy; Cisplatin; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0007060381,0.0006433232,0.0008736136,0.0006449518,0.0003534667,0.001338502,0.0004421925,0.0006234662,0.0006583896],"category_scores_gemma":[0.0009259309,0.0003009212,0.0006986803,0.0005594437,0.0003639487,0.0006283868,0.0007041993,0.001217055,0.0003210993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008589284,"about_ca_system_score_gemma":0.0004537742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003106326,"about_ca_topic_score_gemma":0.004473839,"domain_scores_codex":[0.9985813,0.0003651014,0.0002407924,0.0002394517,0.0004718995,0.0001015224],"domain_scores_gemma":[0.999069,0.0003849825,0.000149088,0.0001651595,0.0001828064,0.00004886433],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002460319,0.0001759446,0.003506536,0.0004454072,0.00006279365,0.0001396096,0.0002042927,0.001637905,0.9883371,0.0001926199,0.000403332,0.004648492],"study_design_scores_gemma":[0.0000156846,0.0009291347,0.01310796,0.0000420982,0.000098141,0.0004702922,0.0002445964,0.004178789,0.975019,0.0001322607,0.00571885,0.00004314995],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9582708,0.01625209,0.01729566,0.0007522216,0.0002363875,0.0002806029,0.003133986,0.0002735697,0.003504759],"genre_scores_gemma":[0.9719249,0.009081968,0.0125094,0.0003106963,0.00002854651,0.000343798,0.004089966,0.00007386035,0.001636951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.999294,"threshold_uncertainty_score":0.006232023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07475281238679342,"score_gpt":0.2828448602030896,"score_spread":0.2080920478162962,"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."}}