{"id":"W3154235110","doi":"10.24908/iqurcp.10557","title":"Predicting Chemotherapy Treatment Outcomes in Ovarian Cancer Patients Using Gene Expression Analysis","year":2018,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ovarian cancer; Chemotherapy; Oncology; Disease; Internal medicine; Cancer; Medicine; Bioinformatics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005996911,0.000402208,0.0008396359,0.001182462,0.0003414576,0.0002136254,0.0002290509,0.0001963405,0.000200957],"category_scores_gemma":[0.0001366667,0.0003055216,0.000212436,0.001990728,0.0004361747,0.00036596,0.0001345265,0.0003453664,0.00001965057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001976439,"about_ca_system_score_gemma":0.0006678965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006383928,"about_ca_topic_score_gemma":0.0003428855,"domain_scores_codex":[0.9961681,0.00008193997,0.0005899682,0.0009984315,0.001173679,0.0009878825],"domain_scores_gemma":[0.9973546,0.0001159582,0.0001998254,0.0003314396,0.001610264,0.0003878636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003633234,0.001326149,0.9828191,0.00005172236,0.001037906,0.00001693276,0.003711793,0.000004992583,0.006977569,0.0002709532,0.0001366071,0.003282976],"study_design_scores_gemma":[0.009204408,0.002645875,0.8718797,0.0007801173,0.000696669,0.000003860425,0.001087395,0.004707462,0.1064678,0.001638697,0.0003868287,0.0005012014],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988564,0.00006525002,0.0002470412,0.008900948,0.0001515866,0.001300361,0.00002571508,0.00006798452,0.00067714],"genre_scores_gemma":[0.9956414,0.001077221,0.001816857,0.0001390584,0.0004454763,0.0004382466,0.00003280568,0.00005515064,0.000353849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1109394,"threshold_uncertainty_score":0.9999397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1213763127268591,"score_gpt":0.4181007743478397,"score_spread":0.2967244616209807,"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."}}