{"id":"W4414533447","doi":"10.1016/j.ydbio.2025.09.016","title":"WNT4 deficiency impacts heart, diaphragm, and palate development: Insights from human genetics, machine learning, and mouse models","year":2025,"lang":"en","type":"article","venue":"Developmental Biology","topic":"Congenital heart defects research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"National Institutes of Health","keywords":"WNT4; Holoprosencephaly; Dysgenesis; Wnt signaling pathway; Candidate gene; Fetus; Gene; Testis determining factor; Placentation","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":[0.0007803448,0.0006923599,0.000385647,0.001066687,0.0002285884,0.0005973123,0.0003069098,0.0005912495,0.001567336],"category_scores_gemma":[0.0005889763,0.0002890016,0.000657361,0.0006281649,0.0004803938,0.0003481483,0.0003548021,0.0008899646,0.0002479782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004733668,"about_ca_system_score_gemma":0.0005841787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003008798,"about_ca_topic_score_gemma":0.003874103,"domain_scores_codex":[0.9996442,0.00008328436,0.00003012108,0.00005996842,0.0001443256,0.00003807233],"domain_scores_gemma":[0.9998068,0.00007715856,0.0000442754,0.00002176322,0.00001928945,0.00003077667],"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":[0.001883793,0.000368487,0.04005502,0.0009028073,0.0007978565,0.001781129,0.0001793632,0.01528135,0.780109,0.01282755,0.005104714,0.1407089],"study_design_scores_gemma":[0.0006420222,0.002173867,0.1879493,0.0009397357,0.001949913,0.009566098,0.0005058439,0.1618299,0.5285276,0.02815451,0.077554,0.0002071523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8886331,0.01804456,0.07494131,0.003774994,0.0001707918,0.0001015634,0.006640344,0.001096271,0.006596981],"genre_scores_gemma":[0.9316982,0.02471949,0.03302828,0.0007354092,0.00006109828,0.0001814557,0.005101191,0.0001954724,0.004279458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003008798,"threshold_uncertainty_score":0.005982578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261089605219809,"score_gpt":0.2806887252884027,"score_spread":0.2680778292362046,"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."}}