{"id":"W4412613079","doi":"10.2196/74931","title":"Authors’ Reply: Clarifying Blood Indices in Patients With Ovarian Cancer","year":2025,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Randomized controlled trial; Ovarian cancer; Multidisciplinary approach; Preprint; Cancer; Chemotherapy; Oncology; Internal medicine; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003650689,0.0004777469,0.001149493,0.001035907,0.002059337,0.002353771,0.0010207,0.01695688,0.005310359],"category_scores_gemma":[0.05804843,0.000490267,0.0009603186,0.001013823,0.001630509,0.001859082,0.001453736,0.01790001,0.003287334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001785242,"about_ca_system_score_gemma":0.003180908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003974061,"about_ca_topic_score_gemma":0.004063115,"domain_scores_codex":[0.9969716,0.0009120912,0.0009559691,0.0002877521,0.0004695272,0.0004029596],"domain_scores_gemma":[0.9779223,0.01222372,0.001736565,0.0007771039,0.00599329,0.001347068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001368843,0.00002944269,0.008269444,0.0002905429,0.00006205508,0.001885187,0.000554042,0.00005949118,0.0001881072,0.001131829,0.9756848,0.01170818],"study_design_scores_gemma":[0.0003487015,0.0001327859,0.01499351,0.001897394,0.0002975306,0.008436223,0.003114344,0.0003833416,0.001126312,0.004681992,0.9643796,0.0002083149],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001749166,0.002505019,0.0001359148,0.9158087,0.07838073,0.00001394798,0.0001960115,0.00002485339,0.001185591],"genre_scores_gemma":[0.01663955,0.002555687,0.0003868016,0.8789924,0.09854941,0.00006129892,0.0001384583,0.00003124805,0.002645148],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01695688,"threshold_uncertainty_score":0.01930696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04652527350193277,"score_gpt":0.4050849029130784,"score_spread":0.3585596294111456,"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."}}