{"id":"W171658374","doi":"10.1023/a:1021352716284","title":"The cadherin superfamily database","year":2002,"lang":"en","type":"article","venue":"Journal of Structural and Functional Genomics","topic":"Wnt/β-catenin signaling in development and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"SUPERFAMILY; Biology; Computational biology; Cadherin; Annotation; Protein family; Bioinformatics; Database; Genetics; Computer science; Cell; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002499853,0.001294931,0.001188038,0.005879642,0.0005125084,0.001382302,0.001186362,0.0009760723,0.05478187],"category_scores_gemma":[0.001622335,0.0004649304,0.0006354416,0.006054973,0.0001789843,0.001215665,0.001039852,0.0007871583,0.04423731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004120413,"about_ca_system_score_gemma":0.001073708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002749776,"about_ca_topic_score_gemma":0.004376351,"domain_scores_codex":[0.9998412,0.00001303687,0.00002697531,0.00004115684,0.00004915946,0.00002853071],"domain_scores_gemma":[0.9996971,0.00008771053,0.00003473307,0.00007147047,0.00005691811,0.00005209389],"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":[0.0008989748,0.0001318798,0.003189043,0.004492312,0.0002360932,0.0006144511,0.0001910091,0.00189969,0.02565188,0.009140726,0.7747362,0.1788177],"study_design_scores_gemma":[0.0001767984,0.00004803183,0.005387694,0.0002944631,0.0001687018,0.0007276897,0.00007151392,0.003574145,0.005302461,0.005488207,0.9787147,0.00004551736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009093666,0.005887951,0.009994637,0.0002836722,0.00009030903,0.0001077939,0.9372878,0.022174,0.01508019],"genre_scores_gemma":[0.01571411,0.002852241,0.007326468,0.0001253696,0.00002568681,0.0001328004,0.9686174,0.001126919,0.004079089],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05478187,"threshold_uncertainty_score":0.1832636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01727630489704733,"score_gpt":0.2037212034538535,"score_spread":0.1864448985568061,"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."}}