{"id":"W4400296949","doi":"10.1093/humrep/deae108.025","title":"O-025 An artificial intelligence (AI) model non-invasively evaluates endometrial receptivity from ultrasound images, surpassing endometrial thickness (EMT) in predicting implantation","year":2024,"lang":"en","type":"article","venue":"Human Reproduction","topic":"Reproductive System and Pregnancy","field":"Immunology and Microbiology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"CReATe Fertility Centre","funders":"","keywords":"Ultrasound; Endometrium; Medicine; Gynecology; Obstetrics; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004164115,0.0003777661,0.0005756465,0.0009452282,0.0005162173,0.000276113,0.000267412,0.0003878429,0.0002764473],"category_scores_gemma":[0.002418188,0.0003694683,0.0001629094,0.0009358555,0.0002648133,0.001051002,0.00007554668,0.0008442313,0.0002509342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002612909,"about_ca_system_score_gemma":0.0002190384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001916297,"about_ca_topic_score_gemma":0.0003186384,"domain_scores_codex":[0.9950385,0.001208501,0.001042631,0.002007335,0.0001988359,0.0005041696],"domain_scores_gemma":[0.9977573,0.0007713184,0.0002992814,0.000857065,0.0002759034,0.00003911671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004156017,0.0001995886,0.005365003,0.00008822446,0.0001429811,0.00001234433,0.004094675,0.001704775,0.9514829,0.0005021763,0.0001530628,0.03583865],"study_design_scores_gemma":[0.000994856,0.0003936491,0.01626323,0.0005034397,0.0002007799,0.0002482125,0.001381206,0.0004319542,0.9554891,0.02336852,0.0001072037,0.0006178378],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9661106,0.005532667,0.01733108,0.0001211051,0.008871119,0.001167984,0.0001581112,0.0003302658,0.0003769893],"genre_scores_gemma":[0.995635,0.0001094457,0.0003658268,0.000008278786,0.0024799,0.0001168383,0.0008658169,0.00005051814,0.000368325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03522081,"threshold_uncertainty_score":0.9998757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07268009089876497,"score_gpt":0.3386981235015991,"score_spread":0.2660180326028341,"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."}}