{"id":"W4312139819","doi":"10.1136/ijgc-2022-igcs.369","title":"EP278/#101 Applications of machine learning in ovarian cancer: a systematic review","year":2022,"lang":"en","type":"review","venue":"International Journal of Gynecological Cancer","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto","funders":"","keywords":"Machine learning; Artificial intelligence; Support vector machine; Logistic regression; Computer science; Ovarian cancer; Medicine; Artificial neural network; Internal medicine; Oncology; Cancer","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":[0.006130237,0.001449196,0.008209317,0.005294371,0.0004357431,0.002431143,0.001573984,0.001816491,0.008824595],"category_scores_gemma":[0.02637256,0.0008872712,0.007826179,0.007493586,0.000641554,0.002133903,0.001545222,0.00163254,0.0006439025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002084777,"about_ca_system_score_gemma":0.007198707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008787636,"about_ca_topic_score_gemma":0.03030777,"domain_scores_codex":[0.9959537,0.001501636,0.001356096,0.000342986,0.0007081417,0.0001375248],"domain_scores_gemma":[0.9832949,0.01299212,0.00240118,0.0002160851,0.0009078128,0.0001877669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002816684,0.000019901,0.0008202048,0.9287119,0.02719603,0.00007479008,0.00006818286,0.0001213691,0.0001366519,0.0001803943,0.002441509,0.03994741],"study_design_scores_gemma":[0.001119238,0.000269098,0.0061581,0.696097,0.2744657,0.0002996405,0.0001684909,0.0002372949,0.0001691824,0.0005557398,0.0204003,0.00006017923],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004575576,0.9983815,0.000142046,0.000188181,0.0001017818,0.0001766935,0.0003434236,0.000009538397,0.0001992843],"genre_scores_gemma":[0.009535194,0.9886392,0.0005756365,0.0005796209,0.00009191273,0.0002037117,0.0002009746,0.000005911554,0.0001679001],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008824595,"threshold_uncertainty_score":0.03242016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06121618485942105,"score_gpt":0.4030112378823374,"score_spread":0.3417950530229164,"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."}}