{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000108795,0.0003166058,0.001077734,0.00008544111,0.00007772377,0.000009141841,0.000222916,0.0002019385,0.000006621545],"category_scores_gemma":[0.00007778233,0.0002576608,0.0002221438,0.00007980285,0.0001151207,0.000002108628,0.0002109946,0.0001411752,0.000012469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002425742,"about_ca_system_score_gemma":0.00006672426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001363211,"about_ca_topic_score_gemma":0.00002615328,"domain_scores_codex":[0.9985951,0.0001636189,0.0004895678,0.0003476125,0.000064748,0.0003394109],"domain_scores_gemma":[0.9991907,0.00005372918,0.0003090783,0.0002711171,0.0001012043,0.00007418109],"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":[0.0002055486,0.0001132064,0.0001963816,0.01214651,0.0008635161,9.063747e-7,0.0004771179,0.0006297391,0.001544286,0.01678394,0.03469718,0.9323417],"study_design_scores_gemma":[0.0002036994,0.0008286354,0.00001966212,0.0002268299,0.00009685494,0.00002774311,0.00003908768,0.0001078616,0.0004932462,0.0000453184,0.997651,0.0002600239],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005353955,0.9851711,0.007411634,0.00003094284,0.0003900254,0.0008258726,0.0001012422,0.00001393644,0.0007012247],"genre_scores_gemma":[0.00146684,0.9842074,0.01086896,0.00009591105,0.0006104646,0.0002714767,0.000601601,0.00002769898,0.00184965],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9629539,"threshold_uncertainty_score":0.9999875,"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."}}