{"id":"W3007897069","doi":"10.1089/thy.2019.0807","title":"The Thyrotropin Receptor Mutation Database Update","year":2020,"lang":"en","type":"article","venue":"Thyroid","topic":"Thyroid Disorders and Treatments","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Mutation; Database; Thyrotropin receptor; Function (biology); Genetics; Medicine; Biology; Computational biology; Bioinformatics; Computer science; Gene; Thyroid; Graves' disease","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":[0.002176879,0.0005648246,0.00131194,0.005752992,0.000417067,0.002516588,0.001412331,0.001097542,0.02703633],"category_scores_gemma":[0.00977506,0.0003081042,0.0008371437,0.004620886,0.0001875505,0.002036279,0.00147563,0.00112049,0.01478312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008615359,"about_ca_system_score_gemma":0.002522839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003707707,"about_ca_topic_score_gemma":0.004745904,"domain_scores_codex":[0.9984585,0.0002465746,0.0005056803,0.0001943069,0.0004942682,0.0001005627],"domain_scores_gemma":[0.9940667,0.001196162,0.0006968495,0.0004974916,0.002965397,0.000577399],"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":[0.0004834431,0.0001115374,0.00805298,0.001519704,0.0001774809,0.0004889767,0.00009691442,0.0002931842,0.001732033,0.002476805,0.7248423,0.2597246],"study_design_scores_gemma":[0.00008112335,0.00003648494,0.009042954,0.000518651,0.0001473483,0.001333002,0.00004400483,0.0002359617,0.001055806,0.000848215,0.986627,0.00002941659],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03013288,0.06780013,0.01282104,0.01645222,0.004768084,0.001143481,0.7268469,0.005738836,0.1342964],"genre_scores_gemma":[0.03848382,0.03607243,0.0202587,0.006776567,0.001622624,0.0008609947,0.861293,0.000986746,0.03364506],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02703633,"threshold_uncertainty_score":0.09044558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01756434030130424,"score_gpt":0.2614021192664259,"score_spread":0.2438377789651217,"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."}}