{"id":"W2081199076","doi":"10.1016/j.ygcen.2014.03.002","title":"Evolution of receptors for peptides similar to glucagon","year":2014,"lang":"en","type":"review","venue":"General and Comparative Endocrinology","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta; Canadian Institutes of Health Research","keywords":"Biology; Subfamily; Gene; Receptor; Phylogenetic tree; Vertebrate; Glucagon receptor; Genetics; Phylogenetics; Glucagon-like peptide-1; Glucagon; Biochemistry; Endocrinology; Hormone","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":[0.0007436561,0.0006217791,0.0009512274,0.001392261,0.0001723303,0.001075147,0.001007246,0.001391155,0.001436699],"category_scores_gemma":[0.0008330374,0.0003201551,0.0003908924,0.00184714,0.0008885192,0.001182672,0.0006527972,0.001321474,0.0007462142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007654272,"about_ca_system_score_gemma":0.0006383181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000765938,"about_ca_topic_score_gemma":0.001066466,"domain_scores_codex":[0.9997937,0.00002854644,0.00002491822,0.0000613673,0.00006681735,0.00002462604],"domain_scores_gemma":[0.9996251,0.0001976494,0.00006155574,0.00001892633,0.00006696766,0.00002974672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009431719,0.00002777022,0.0006584322,0.004895289,0.00009712793,0.0003532834,0.00005080249,0.001197271,0.006747611,0.01047827,0.00949272,0.9659072],"study_design_scores_gemma":[0.00002630578,0.00004992075,0.002864846,0.001232937,0.0001474599,0.003040005,0.00006686661,0.0005517243,0.003937949,0.008612771,0.9794333,0.00003590979],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008974859,0.995768,0.001197293,0.0005014568,0.000187905,0.000002752459,0.00002924256,0.00001138917,0.001404566],"genre_scores_gemma":[0.00572576,0.9908104,0.001301178,0.0005497236,0.000348524,0.000004675212,0.00008745963,0.000006832614,0.001165379],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001436699,"threshold_uncertainty_score":0.005553603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04613691320532377,"score_gpt":0.3518139667630187,"score_spread":0.305677053557695,"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."}}