{"id":"W7160662978","doi":"10.1109/icscss64956.2025.11500988","title":"Ovarian Cancer Detection: A Systematic Review of Deep Learning Models","year":2025,"lang":"","type":"article","venue":"","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Ovarian cancer; Deep learning; Cancer; MEDLINE; Disease","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":[0.00438227,0.001009448,0.002820075,0.005156799,0.0002408256,0.001400998,0.002042607,0.001015562,0.003632463],"category_scores_gemma":[0.02611083,0.0005719357,0.004843605,0.004772703,0.0004495003,0.001628316,0.0009722692,0.001181422,0.000543205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453061,"about_ca_system_score_gemma":0.005038668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007822093,"about_ca_topic_score_gemma":0.0184026,"domain_scores_codex":[0.9978871,0.000709421,0.0006543051,0.0002419521,0.0004531958,0.00005400715],"domain_scores_gemma":[0.9882848,0.009551308,0.0008119479,0.0002158678,0.001038641,0.00009736654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002241388,0.00005047225,0.002793354,0.2663966,0.005300705,0.00009919415,0.0001192861,0.002211882,0.0002447661,0.001410551,0.01497911,0.7061699],"study_design_scores_gemma":[0.0002931191,0.0007813644,0.01490973,0.5982856,0.04749269,0.001381997,0.0003572279,0.005866406,0.001236748,0.009318252,0.3198715,0.0002053734],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004121503,0.9971814,0.0009423352,0.0006168942,0.00009605706,0.00004557576,0.0003797374,0.00001814769,0.00030779],"genre_scores_gemma":[0.009109863,0.9872631,0.002089921,0.0006122227,0.0001155386,0.0001156181,0.0005183214,0.00001707545,0.0001583822],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007822093,"threshold_uncertainty_score":0.0231759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02332762806050621,"score_gpt":0.2762077904541135,"score_spread":0.2528801623936073,"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."}}