{"id":"W2750692092","doi":"10.1038/npp.2017.206","title":"CB1 Receptor Signaling in the Brain: Extracting Specificity from Ubiquity","year":2017,"lang":"en","type":"review","venue":"Neuropsychopharmacology","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":330,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"FP7 People: Marie-Curie Actions; Canadian Institutes of Health Research; Institut National de la Santé et de la Recherche Médicale; Agence Nationale de la Recherche; Fondation Brain Canada","keywords":"Neuroscience; Endocannabinoid system; Cannabinoid receptor; Perspective (graphical); Cannabinoid; Cognitive science; Receptor; G protein-coupled receptor; Central nervous system; Biology; Set (abstract data type); Computer science; Psychology; Artificial intelligence","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":[0.000628843,0.0006583064,0.0009682355,0.00214581,0.0004338879,0.001370841,0.0009813748,0.00118759,0.002949428],"category_scores_gemma":[0.0008388043,0.0002940202,0.0003765858,0.001852074,0.001119883,0.00230504,0.0009710274,0.00223789,0.002174185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00115437,"about_ca_system_score_gemma":0.001574781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001873589,"about_ca_topic_score_gemma":0.002969164,"domain_scores_codex":[0.9998247,0.0000274196,0.00002592683,0.00004076169,0.00006191597,0.00001931351],"domain_scores_gemma":[0.9997571,0.000107584,0.00002435287,0.00001428898,0.00007053064,0.00002619103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008710083,0.00003382486,0.000254676,0.01531413,0.00007533055,0.0003193178,0.0002065021,0.0005120668,0.004911534,0.03311308,0.02835107,0.9168214],"study_design_scores_gemma":[0.000004699696,0.00002506976,0.0005764405,0.001974951,0.00003751903,0.0006562818,0.00009313401,0.00007021561,0.0007130241,0.006932951,0.9888986,0.00001702699],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001490924,0.997152,0.0002604479,0.0005898496,0.0002405994,0.000002985938,0.00001997657,0.000009263959,0.001575772],"genre_scores_gemma":[0.0008549056,0.9979094,0.0001824387,0.0002148543,0.0001492808,0.000003592475,0.00001904093,0.000002156376,0.0006643693],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002949428,"threshold_uncertainty_score":0.009866774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1742575916398642,"score_gpt":0.4728179303219229,"score_spread":0.2985603386820587,"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."}}