{"id":"W4407419631","doi":"10.1007/s11936-025-01077-3","title":"Harnessing iPSCs to Model Marfan Syndrome: Advancing Clinical Diagnosis and Drug Discovery","year":2025,"lang":"en","type":"article","venue":"Current Treatment Options in Cardiovascular Medicine","topic":"Connective tissue disorders research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre; Robarts Clinical Trials; Western University","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Medicine; Drug discovery; Marfan syndrome; Intensive care medicine; Internal medicine; Bioinformatics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.000777705,0.0002321039,0.0005224929,0.0002702628,0.0001205567,0.00002625709,0.000142633,0.0000784645,0.000005570172],"category_scores_gemma":[0.0005178779,0.0001985962,0.0002948325,0.0003751701,0.0001719791,0.0000140576,0.0001629666,0.0001457556,0.000003141384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001550032,"about_ca_system_score_gemma":0.0001457415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000863211,"about_ca_topic_score_gemma":0.0001289982,"domain_scores_codex":[0.998123,0.0002410526,0.000355879,0.0007190196,0.0002351413,0.0003259199],"domain_scores_gemma":[0.9989845,0.00009138902,0.00002932533,0.0006778209,0.00008270513,0.0001343012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001305976,0.0009419633,0.2163936,0.0001897115,0.001801064,0.00005889789,0.0003493154,0.01256514,0.0010373,0.0003212879,0.002019634,0.7641914],"study_design_scores_gemma":[0.02891551,0.002904341,0.5671836,0.005177971,0.003370469,0.0001527118,0.00453064,0.01251963,0.003507074,0.001367297,0.3680996,0.002271113],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8217994,0.1505939,0.02501298,0.001013598,0.0004179805,0.0008356739,0.00001911761,0.00001566868,0.0002917187],"genre_scores_gemma":[0.9716883,0.02629348,0.0005901338,0.0000550513,0.00009796878,0.0005804794,0.0001199901,0.00002120015,0.0005533699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7619203,"threshold_uncertainty_score":0.8098519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04507601335016404,"score_gpt":0.3948967761009626,"score_spread":0.3498207627507986,"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."}}