{"id":"W4247560864","doi":"10.1515/iupac.88.1390","title":"Syndactyly","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":[0.001185656,0.001083086,0.001213017,0.004510917,0.0006905408,0.001661841,0.001627293,0.001168091,0.1283439],"category_scores_gemma":[0.01140146,0.0004547041,0.001358111,0.005728834,0.000427758,0.001299137,0.001789808,0.001446877,0.05585826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000964203,"about_ca_system_score_gemma":0.002798484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01310918,"about_ca_topic_score_gemma":0.02347185,"domain_scores_codex":[0.998248,0.0002444505,0.0005858858,0.0004486889,0.0003370172,0.0001359979],"domain_scores_gemma":[0.9958183,0.001368642,0.0009599837,0.0007878506,0.0008336777,0.0002314534],"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":[0.0002467157,0.00002108832,0.006806938,0.003308108,0.0001060101,0.000169276,0.00004777314,0.0001513039,0.0001747731,0.001296833,0.9652659,0.02240527],"study_design_scores_gemma":[0.0002575099,0.00003026425,0.02804551,0.003418668,0.0001071646,0.000838612,0.0001421161,0.0001448792,0.0002606736,0.00228736,0.9644238,0.00004353777],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000546388,0.0006252087,0.0002029812,0.0001907268,0.00007132978,0.0000528298,0.9940177,0.0001502622,0.004142554],"genre_scores_gemma":[0.002064599,0.001020026,0.0006852786,0.0003165453,0.00004787183,0.0002960224,0.9919947,0.0000818666,0.00349309],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1283439,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01180828841433928,"score_gpt":0.397116490864036,"score_spread":0.3853082024496967,"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."}}