{"id":"W2038812644","doi":"10.1002/ajmg.a.36249","title":"Elements of morphology: General terms for congenital anomalies","year":2013,"lang":"en","type":"article","venue":"American Journal of Medical Genetics Part A","topic":"Congenital Ear and Nasal Anomalies","field":"Medicine","cited_by":150,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia; Children's Hospital of Eastern Ontario","funders":"National Institutes of Health","keywords":"Standardization; Morphology (biology); Phenotype; Process (computing); Field (mathematics); Evolutionary biology; Biology; Computational biology; Genetics; Computer science; Gene; Mathematics","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":[0.002345779,0.002200897,0.001134221,0.009116746,0.001746592,0.003763241,0.003043235,0.002204152,0.01353626],"category_scores_gemma":[0.006979889,0.0004963006,0.00146093,0.008666391,0.006048829,0.006796962,0.003236263,0.004945951,0.01185634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001545251,"about_ca_system_score_gemma":0.00247059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002583083,"about_ca_topic_score_gemma":0.003398179,"domain_scores_codex":[0.9969277,0.0009624437,0.0008286243,0.0003027612,0.0007603282,0.0002182396],"domain_scores_gemma":[0.9963903,0.001719364,0.0006390518,0.0003727986,0.0006685869,0.0002099031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007919256,0.00004864861,0.001805925,0.001605301,0.00004350068,0.001318182,0.003997376,0.0006420243,0.003961885,0.7047498,0.1530953,0.1286529],"study_design_scores_gemma":[0.000008466161,0.00002263908,0.001132548,0.0004289932,0.00001507714,0.004728954,0.0006831976,0.0003893463,0.0003901384,0.09539133,0.8967726,0.00003669363],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01303625,0.1042976,0.5633807,0.01884953,0.0163863,0.001626328,0.01254073,0.005233963,0.2646487],"genre_scores_gemma":[0.09517426,0.05230139,0.7666298,0.01077284,0.007471651,0.002864764,0.01282976,0.002938782,0.04901667],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01353626,"threshold_uncertainty_score":0.04528326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01627245515302739,"score_gpt":0.2998923053549159,"score_spread":0.2836198502018885,"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."}}