{"id":"W2118169952","doi":"10.1161/01.res.0000176764.38934.86","title":"Heterodimerization of β <sub>1</sub> - and β <sub>2</sub> -Adrenergic Receptor Subtypes Optimizes β-Adrenergic Modulation of Cardiac Contractility","year":2005,"lang":"en","type":"article","venue":"Circulation Research","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute","funders":"National Institutes of Health; School of Medicine, Stanford University; Peking University; Heart and Stroke Foundation of Canada","keywords":"Agonist; Contractility; Receptor; Stimulation; Myocyte; Biology; Biophysics; Cell biology; Endocrinology; Population; Internal medicine; Colocalization; Adrenergic receptor; Chemistry; Biochemistry; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.001093952,0.0001641602,0.0002881272,0.0001850777,0.000141901,0.000034984,0.0001202051,0.000265753,0.00003040228],"category_scores_gemma":[0.0002178699,0.0001578424,0.0001218725,0.0002787183,0.0001699344,0.00003518522,0.00007765056,0.0001476173,0.000004096806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003689028,"about_ca_system_score_gemma":0.00009670006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003785957,"about_ca_topic_score_gemma":0.00001480383,"domain_scores_codex":[0.9978966,0.0003953258,0.0004727378,0.000457023,0.0004878754,0.0002904719],"domain_scores_gemma":[0.9986219,0.00007345478,0.0002147581,0.0003530518,0.0006294613,0.0001074041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001710033,0.00006286314,0.002324966,0.00004853131,0.00005457423,1.194453e-7,0.0000650478,0.03754958,0.9334155,0.0001235565,0.0000339342,0.02615036],"study_design_scores_gemma":[0.0003684979,0.0001387891,0.02562421,0.00002758707,0.00001661198,0.000001219559,0.00004787511,0.01509338,0.9583068,0.0001105909,0.0001165825,0.0001478373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948912,0.0009424599,0.003497517,0.00005163706,0.0001165857,0.0003538359,0.00003430728,0.00001262926,0.00009984467],"genre_scores_gemma":[0.9977244,0.001081888,0.000467824,0.000009921581,0.0002272523,0.00002874624,0.0004207822,0.00002855506,0.00001070261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02600252,"threshold_uncertainty_score":0.6436626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02356474127199887,"score_gpt":0.2835199463588406,"score_spread":0.2599552050868418,"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."}}