{"id":"W4310960669","doi":"10.1002/ajmg.a.63060","title":"Perspectives on the future of dysmorphology","year":2022,"lang":"en","type":"editorial","venue":"American Journal of Medical Genetics Part A","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; Children's & Women's Health Centre of British Columbia; University of British Columbia","funders":"National Human Genome Research Institute; National Institutes of Health","keywords":"Geneticist; Biomedicine; Medical genetics; Field (mathematics); Clinical Practice; Engineering ethics; Biology; Data science; Genetics; Medicine; Computer science; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0008507159,0.0002288947,0.0005059305,0.00008281437,0.00007673426,0.00001266184,0.001180023,0.0003129367,0.0006095454],"category_scores_gemma":[0.0009278149,0.0001512644,0.0003419016,0.0001437045,0.0007306834,6.592707e-7,0.0002822697,0.0009650349,0.000002051683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002833677,"about_ca_system_score_gemma":0.001571807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008384124,"about_ca_topic_score_gemma":0.00000559733,"domain_scores_codex":[0.9971005,0.0003545956,0.0005465944,0.0002782028,0.001485614,0.0002344576],"domain_scores_gemma":[0.9977268,0.0002528192,0.0009703366,0.00044828,0.0003681483,0.0002336114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000272983,0.0001952626,0.00002757948,0.00001096115,0.0003459904,0.00009574267,0.0002014214,0.00002916879,0.0003876218,0.0000538644,0.9905176,0.007861776],"study_design_scores_gemma":[0.0003565314,0.003483309,0.00003583289,0.00003238079,0.0001012802,0.00007626632,0.004804504,0.000002225408,0.000161173,0.00003110554,0.9907614,0.0001540003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.2866527,0.04861426,0.00007177413,0.005469099,0.6580473,0.000221972,0.0005403222,0.000003988895,0.0003786688],"genre_scores_gemma":[0.08845327,0.06902035,0.0001734833,0.0007765672,0.8410719,0.00001472959,0.0001865708,0.00007968855,0.0002234384],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1981994,"threshold_uncertainty_score":0.6674095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004369658853328054,"score_gpt":0.2616377296808929,"score_spread":0.2572680708275648,"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."}}