{"id":"W4403018285","doi":"10.52054/fvvo.16.3.042","title":"Achieving successful outcomes with endometrial ablation needs better case selection","year":2024,"lang":"en","type":"article","venue":"Facts Views and Vision in ObGyn","topic":"Uterine Myomas and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Endometrial ablation; Selection (genetic algorithm); Ablation; Case selection; Computer science; Medicine; Internal medicine; Surgery; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001455302,0.0001440788,0.0002595347,0.0004478489,0.00006580259,0.00009634047,0.00001670375,0.00005163693,0.0001479613],"category_scores_gemma":[0.00003095083,0.00008559444,0.00004489365,0.0005022888,0.0000154948,0.0002202104,0.00002268447,0.0001352776,0.00002147978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005168655,"about_ca_system_score_gemma":0.00001984431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002387854,"about_ca_topic_score_gemma":0.0001090748,"domain_scores_codex":[0.9992402,0.00003260309,0.0002217741,0.0002090242,0.0001457198,0.0001506481],"domain_scores_gemma":[0.9996691,0.0001053688,0.00003344002,0.00009383111,0.00002203116,0.00007620439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001802124,0.0001157702,0.756907,0.0001803542,0.00009047431,0.001401257,0.0004011751,0.000004539078,0.0005442493,0.00007440298,0.0003229419,0.2397777],"study_design_scores_gemma":[0.006009086,0.00250359,0.9032558,0.0007977405,0.0002425765,0.002541305,0.0001265644,0.001719696,0.0005059308,0.00003934716,0.08197483,0.000283528],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970509,0.0004362163,0.000314787,0.000806693,0.0002399803,0.0003479199,0.000005249238,0.00005121115,0.0007470257],"genre_scores_gemma":[0.9982656,0.00009443478,0.0006059211,0.0001520727,0.0001163511,0.00001836311,0.00002253879,0.00001738777,0.0007073017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2394941,"threshold_uncertainty_score":0.349044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02482595811910249,"score_gpt":0.3462885933485705,"score_spread":0.321462635229468,"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."}}