{"id":"W4411771174","doi":"10.1016/j.fertnstert.2025.05.060","title":"A NOVEL ARTIFICIAL INTELLIGENCE (AI) MODEL, TRAINED USING 2-DIMENSIONAL ENDOMETRIAL ULTRASOUND (US) IMAGES, PREDICTS CLINICAL PREGNANCY OUTCOMES","year":2025,"lang":"en","type":"article","venue":"Fertility and Sterility","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Birds Canada; Ottawa Fertility Centre; CReATe Fertility Centre","funders":"","keywords":"Pregnancy; Ultrasound; Obstetrics; Artificial intelligence; Computer science; Medicine; Gynecology; Radiology; Biology","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":[0.0008534872,0.0007067483,0.0005694426,0.0009865396,0.0002968255,0.0009858754,0.0008710888,0.001091863,0.001392618],"category_scores_gemma":[0.002796692,0.0002147687,0.0006868221,0.0005850588,0.0002405816,0.0005910381,0.0003922681,0.0009148085,0.0003949947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005813903,"about_ca_system_score_gemma":0.0007883388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008452174,"about_ca_topic_score_gemma":0.005284268,"domain_scores_codex":[0.9997672,0.00005251707,0.00002028958,0.00008117483,0.00004246478,0.00003642563],"domain_scores_gemma":[0.9990325,0.0005985756,0.00008241235,0.00003915473,0.0001981335,0.00004919752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009765716,0.001325036,0.1125427,0.000178862,0.0006429199,0.0006535596,0.000172,0.5097329,0.009504497,0.001963979,0.008336796,0.3539703],"study_design_scores_gemma":[0.00001368868,0.00007269506,0.003059688,0.000008718919,0.00004201758,0.00005137042,0.000009694642,0.9956822,0.0004665247,0.0003976834,0.000189226,0.00000636273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6603201,0.002151028,0.3219124,0.003265898,0.0006086417,0.0002353497,0.001368914,0.00247428,0.007663335],"genre_scores_gemma":[0.9658775,0.0003482466,0.03050142,0.0004299747,0.0001336857,0.0001180217,0.0007507228,0.00002246699,0.001817915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008452174,"threshold_uncertainty_score":0.01680595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1324025386765211,"score_gpt":0.385485000162883,"score_spread":0.2530824614863619,"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."}}