{"id":"W4362542917","doi":"10.1158/1538-7445.am2023-206","title":"Abstract 206: Organoid models for predicting drug response in high grade serous and triple negative breast cancer","year":2023,"lang":"en","type":"article","venue":"Cancer Research","topic":"Microtubule and mitosis dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Triple-negative breast cancer; Organoid; Medicine; Breast cancer; Cancer; Clinical trial; Oncology; Ovarian cancer; Drug; Chemotherapy; Internal medicine; Cancer research; Pharmacology; Biology","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":[0.0008330577,0.0006114991,0.0006196228,0.0009467197,0.0002320652,0.001166078,0.00047822,0.0007559497,0.001445745],"category_scores_gemma":[0.001150105,0.000253822,0.000849183,0.0006624246,0.0002922041,0.0003821817,0.0005890808,0.000647564,0.0005768855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001303106,"about_ca_system_score_gemma":0.0006087959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006072869,"about_ca_topic_score_gemma":0.003485471,"domain_scores_codex":[0.9997306,0.00009336026,0.00001707681,0.00007286968,0.00005837374,0.00002767325],"domain_scores_gemma":[0.9992402,0.0003315613,0.0001452821,0.00007252266,0.0001280908,0.00008239316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00302465,0.0005141741,0.02697281,0.0007996606,0.0003365074,0.0004530548,0.0001911747,0.6541606,0.2583681,0.002359736,0.002279702,0.05053984],"study_design_scores_gemma":[0.00007078746,0.001082245,0.008256205,0.00005699765,0.0001298342,0.0003346898,0.0001406328,0.9210548,0.06098801,0.001651308,0.006157808,0.0000767607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7847881,0.006056183,0.192201,0.0006406863,0.0002505016,0.0004903742,0.008355523,0.001634137,0.005583355],"genre_scores_gemma":[0.9596106,0.001212174,0.03367817,0.00009493755,0.00001612137,0.0002264612,0.00345272,0.00005390299,0.001654999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006072869,"threshold_uncertainty_score":0.01207507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03786121779140905,"score_gpt":0.3561115569533208,"score_spread":0.3182503391619117,"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."}}