{"id":"W4241516363","doi":"10.1515/iupac.88.0718","title":"Ectrosyndactyly","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Congenital limb and hand anomalies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","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":[0.001007141,0.001012758,0.001282356,0.004092411,0.000570859,0.001457074,0.001659938,0.001095103,0.08491845],"category_scores_gemma":[0.008276924,0.000457085,0.001366167,0.004721734,0.0004607756,0.001147765,0.001662344,0.001129684,0.03383403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008619167,"about_ca_system_score_gemma":0.002089979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01275997,"about_ca_topic_score_gemma":0.02651064,"domain_scores_codex":[0.9987586,0.0001810799,0.000421434,0.0003119949,0.0002169091,0.0001099987],"domain_scores_gemma":[0.9965851,0.001137459,0.0008416994,0.0006542982,0.0006168401,0.0001646166],"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":[0.0003193437,0.00002367387,0.01041271,0.006845422,0.0001907574,0.0002181038,0.00006555368,0.0002675015,0.0003159835,0.001367682,0.956557,0.02341635],"study_design_scores_gemma":[0.0002923808,0.00003255629,0.0392393,0.005207951,0.0001645328,0.0008369999,0.0001614629,0.0001755449,0.0003580766,0.001983634,0.9514974,0.00005019636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005122321,0.000603079,0.0001616305,0.0000850251,0.00004372383,0.00003944626,0.9964419,0.00008805475,0.002024838],"genre_scores_gemma":[0.002080799,0.0009440699,0.0006710815,0.0001895749,0.00002573641,0.0003006847,0.9935003,0.00006434161,0.002223482],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08491845,"threshold_uncertainty_score":0.2840805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070417372047755,"score_gpt":0.3951375781992392,"score_spread":0.3844334044787616,"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."}}