{"id":"W2230135986","doi":"10.14232/phd.2233","title":"Rimonabant: a CB1 receptor antagonist as a direct interactional partner for μ- and δ-opioid receptor","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Pharmacological Receptor Mechanisms and Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institute of Genetics; Rheinische Friedrich-Wilhelms-Universität Bonn; Weizmann Institute of Science","keywords":"Rimonabant; Cannabinoid receptor; Opioid receptor; Antagonist; Opioid; Pharmacology; Psychology; Receptor; Medicine; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001951975,0.0004541406,0.0002370322,0.0002453316,0.0002132541,0.0003751472,0.0004951327,0.0003186745,0.004532699],"category_scores_gemma":[0.0001223448,0.0001437854,0.0002669012,0.0001715884,0.000181039,0.0002641353,0.0002141685,0.0007402248,0.001851672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002915446,"about_ca_system_score_gemma":0.0002634889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002778314,"about_ca_topic_score_gemma":0.0005222193,"domain_scores_codex":[0.9999317,0.00001244767,0.000004811963,0.0000145035,0.00001942436,0.00001715308],"domain_scores_gemma":[0.9999807,0.00000242739,0.000004452173,0.000002028708,0.000003887709,0.000006479345],"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":[0.001431162,0.0002769552,0.0001776192,0.0005796553,0.00003817437,0.000715165,0.00008907233,0.0002658306,0.8691744,0.004151409,0.007590517,0.1155101],"study_design_scores_gemma":[0.0007595264,0.002402165,0.004266195,0.0001535642,0.0002003263,0.004485506,0.0001046444,0.001305001,0.8349524,0.00130958,0.1500147,0.00004639867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6275129,0.1589041,0.03032109,0.005896089,0.00179672,0.0006766123,0.002255555,0.001737602,0.1708995],"genre_scores_gemma":[0.8278064,0.05565681,0.01625384,0.00111182,0.0003102067,0.0002607762,0.001859468,0.00009972372,0.09664104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004532699,"threshold_uncertainty_score":0.01516336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009557730594786013,"score_gpt":0.3062416821629534,"score_spread":0.2966839515681674,"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."}}