{"id":"W2908077109","doi":"10.5772/intechopen.81343","title":"Adrenergic Receptors as Pharmacological Targets for Neuroinflammation and Neurodegeneration in Parkinson’s Disease","year":2019,"lang":"en","type":"book-chapter","venue":"IntechOpen eBooks","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"","keywords":"Neuroinflammation; Neurodegeneration; Parkinson's disease; Neuroscience; Disease; Medicine; Adrenergic receptor; Receptor; Psychology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001853485,0.0003158273,0.0002621381,0.00009687268,0.00006184215,0.00006073253,0.0001772942,0.0003437453,0.0001927019],"category_scores_gemma":[0.00005064596,0.0003057899,0.0001311292,0.000006964743,0.00004495011,0.000005462948,0.0001330524,0.0002023152,0.0000194662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002685863,"about_ca_system_score_gemma":0.0001274067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006824327,"about_ca_topic_score_gemma":0.00002629172,"domain_scores_codex":[0.9986288,0.00003748509,0.0003471182,0.0006460535,0.0001328267,0.0002077259],"domain_scores_gemma":[0.9993867,0.00002119899,0.0001789176,0.0002140933,0.00007906575,0.0001200823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008107221,0.00001840658,0.0000275932,0.0000697025,0.00006004973,0.00002370135,0.00002913825,0.0001967299,0.9607072,0.01319979,0.001858352,0.02299856],"study_design_scores_gemma":[0.000841948,0.0004881638,0.0000152875,0.00008477728,0.00006738253,0.000009358072,0.000005322582,0.0004706943,0.3074888,0.003994744,0.6860397,0.0004938412],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6522411,0.00474469,0.008157374,0.0005638588,0.005591056,0.01048196,0.0003199625,0.0001622941,0.3177377],"genre_scores_gemma":[0.6108357,0.0007497083,0.0007604646,0.0008067565,0.0008642851,0.0002671393,0.0009015424,0.0001662352,0.3846481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6841813,"threshold_uncertainty_score":0.9999394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530227974273831,"score_gpt":0.2504610367141639,"score_spread":0.2351587569714255,"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."}}