{"id":"W4362550449","doi":"10.1136/ijgc-2022-004202","title":"Validation of the Integrated Prediction Model algorithm for outcome of cytoreduction in advanced ovarian cancer","year":2023,"lang":"en","type":"article","venue":"International Journal of Gynecological Cancer","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of British Columbia; Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Medicine; Cohort; Retrospective cohort study; Stage (stratigraphy); Ovarian cancer; Chemotherapy; Internal medicine; Oncology; Surgery; Cytoreductive surgery; Neoadjuvant therapy; Cancer; Breast 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":[0.003054079,0.0008552138,0.001293448,0.001078326,0.0003487165,0.001369344,0.000975752,0.0007907516,0.001891633],"category_scores_gemma":[0.007593825,0.0002999156,0.001072251,0.0006963023,0.000144414,0.0005679904,0.0008929908,0.001110611,0.0005381256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006537377,"about_ca_system_score_gemma":0.001982583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008498958,"about_ca_topic_score_gemma":0.006852469,"domain_scores_codex":[0.9991354,0.0002859248,0.00007615539,0.0002305719,0.0001770603,0.00009488245],"domain_scores_gemma":[0.9972454,0.001583029,0.0001835518,0.0001843495,0.0006900872,0.0001135196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002835996,0.001297652,0.3588184,0.0002064379,0.0015003,0.0002314902,0.00007993895,0.3376493,0.002393558,0.0007089324,0.006442008,0.287836],"study_design_scores_gemma":[0.0001301495,0.0002836917,0.02937077,0.00003242595,0.0002896993,0.0001047003,0.00002286351,0.9678149,0.0008374568,0.0005574375,0.0005405308,0.0000154683],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8656381,0.001560524,0.1220895,0.0009718739,0.0003767617,0.0002751626,0.004138962,0.001757592,0.003191491],"genre_scores_gemma":[0.9691933,0.0001819491,0.02603872,0.0001117517,0.00007291808,0.0001297644,0.003467152,0.00005821537,0.0007462124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008498958,"threshold_uncertainty_score":0.01689899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05024807923466793,"score_gpt":0.3719066315430669,"score_spread":0.321658552308399,"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."}}