{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003077392,0.0002975971,0.0002913587,0.0001431942,0.0001297547,0.0004565911,0.0001520915,0.0001879554,0.001311768],"category_scores_gemma":[0.0001437552,0.0001600149,0.000163357,0.00008450137,0.0001499732,0.0001950096,0.0002540551,0.0004359231,0.0004652073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000138962,"about_ca_system_score_gemma":0.00008443396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001021205,"about_ca_topic_score_gemma":0.0002586695,"domain_scores_codex":[0.99972,0.00006537954,0.00002757314,0.00007227619,0.00004669355,0.00006806024],"domain_scores_gemma":[0.9999298,0.00001087537,0.00002280233,0.000009762479,0.00000864352,0.00001805615],"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":[0.00003813448,0.00001367172,0.0003455202,0.00001164494,0.000004105207,0.00001309903,0.000006464152,0.00001553005,0.9987087,0.00006276218,0.00004686051,0.0007336404],"study_design_scores_gemma":[0.00004182413,0.0003396135,0.02501789,0.00001612669,0.00005881589,0.0006718226,0.0001095052,0.002085716,0.9644735,0.00009812446,0.007077241,0.000009732988],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919029,0.002103553,0.003597329,0.0001316416,0.00004969415,0.00002331036,0.0001234298,0.00006630828,0.002001918],"genre_scores_gemma":[0.9947062,0.001049407,0.002188984,0.0001330549,0.00003915086,0.00003854774,0.0002475966,0.00002432537,0.001572838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001311768,"threshold_uncertainty_score":0.004388332,"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."}}