{"id":"W4389203868","doi":"10.3390/curroncol30120741","title":"Ovarian Cancer: From Precursor Lesion Identification to Population-Based Prevention Programs","year":2023,"lang":"en","type":"article","venue":"Current Oncology","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Salpingectomy; Ovarian cancer; Fallopian tube; Etiology; Serous carcinoma; Oncology; Cancer prevention; Population; Gynecology; Cancer; Intensive care medicine; Internal medicine; Bioinformatics; Pregnancy; Environmental health; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.004703914,0.0003977935,0.0007949626,0.002512087,0.0007088387,0.002201807,0.001066352,0.001246405,0.005252965],"category_scores_gemma":[0.01550443,0.0003456805,0.0005592019,0.0009240738,0.0009187926,0.00191038,0.002941664,0.00299368,0.00105473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002032017,"about_ca_system_score_gemma":0.005526091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007594274,"about_ca_topic_score_gemma":0.009996449,"domain_scores_codex":[0.9982927,0.0007397899,0.0001158121,0.0002761331,0.000415049,0.0001604281],"domain_scores_gemma":[0.9949369,0.00220132,0.0004853267,0.0003294739,0.0009688583,0.001078007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001671412,0.0004582476,0.05359019,0.001404871,0.0001788133,0.0002676639,0.000329415,0.000578122,0.0004943793,0.007960838,0.04104641,0.8935239],"study_design_scores_gemma":[0.0005404282,0.002436962,0.3257696,0.02915833,0.001602312,0.003797472,0.004285861,0.006390965,0.002336622,0.09827529,0.5251634,0.0002427707],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.07909849,0.4169286,0.02510567,0.405144,0.004743043,0.000972981,0.001999036,0.001135856,0.06487235],"genre_scores_gemma":[0.5931393,0.3050918,0.02477464,0.05824457,0.007081258,0.0008806459,0.002153486,0.0001562456,0.008478095],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007594274,"threshold_uncertainty_score":0.02487695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1816046730534932,"score_gpt":0.4615805200789528,"score_spread":0.2799758470254596,"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."}}