{"id":"W4402644711","doi":"10.1038/s41597-024-03869-x","title":"High-throughput drug screening identifies novel therapeutics for Low Grade Serous Ovarian Carcinoma","year":2024,"lang":"en","type":"article","venue":"Scientific Data","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"Therapeutic Innovation Australia; BC Cancer Foundation; Medical Research Future Fund; Australian Cancer Research Foundation; Australian Government; Ovarian Cancer Canada; Marshfield Clinic Research Foundation; Cancer Research Society; Peter MacCallum Cancer Centre; Victorian Cancer Agency","keywords":"Serous fluid; Ovarian cancer; Serous carcinoma; Ovarian carcinoma; Oncology; Clear cell; Ovary; Clear cell carcinoma; Internal medicine; Medicine; Cancer research; Drug; Cancer; Carcinoma; Pharmacology","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008594453,0.0002428486,0.0003149818,0.0002004146,0.0003780436,0.001044536,0.0006114676,0.00006845913,0.000134441],"category_scores_gemma":[0.00004061652,0.0001960747,0.0001222768,0.0005768737,0.0002262179,0.000501788,0.0003747258,0.0001601056,0.000112875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001104693,"about_ca_system_score_gemma":0.0003328778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003706159,"about_ca_topic_score_gemma":0.0002208935,"domain_scores_codex":[0.9973317,0.00002114937,0.0003516384,0.001327541,0.000503687,0.0004642828],"domain_scores_gemma":[0.9973109,0.0001580074,0.00006363209,0.002204927,0.0001135429,0.0001489996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002139725,0.001734998,0.003340793,0.001877725,0.002010035,0.000397478,0.003051049,0.00005685977,0.01590109,0.01521197,0.8574594,0.09874461],"study_design_scores_gemma":[0.00502121,0.0002057322,0.01935425,0.001296844,0.002140407,0.0001481577,0.0007533636,0.02366709,0.02744887,0.002016194,0.9172608,0.0006871185],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4944007,0.03640459,0.1875237,0.1015762,0.07252186,0.009694164,0.09450474,0.002065187,0.001308873],"genre_scores_gemma":[0.9557763,0.00005407144,0.02254285,0.0004722014,0.0007743886,0.0001037017,0.01039066,0.00007208019,0.009813705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4613757,"threshold_uncertainty_score":0.9999925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1106643983927152,"score_gpt":0.3456806975507206,"score_spread":0.2350162991580053,"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."}}