{"id":"W2413671571","doi":"10.1016/j.biopsych.2016.06.003","title":"Translating the Habenula—From Rodents to Humans","year":2016,"lang":"en","type":"review","venue":"Biological Psychiatry","topic":"Neurotransmitter Receptor Influence on Behavior","field":"Neuroscience","cited_by":168,"is_retracted":false,"has_abstract":false,"ca_institutions":"Douglas Mental Health University Institute; McGill University","funders":"National Institute on Alcohol Abuse and Alcoholism; National Institutes of Health; National Institute on Drug Abuse; Canada Research Chairs; McGill University","keywords":"Monoaminergic; Habenula; Neuroscience; Forebrain; Psychology; Neuroimaging; Schizophrenia (object-oriented programming); Anticipation (artificial intelligence); Dopamine; Translational research; Human brain; Deep brain stimulation; Cognition; Serotonin; Medicine; Psychiatry; Central nervous system; Computer science; Parkinson's disease","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002199255,0.0007234436,0.001194993,0.0001075917,0.0003358925,0.0001316806,0.002377261,0.0005157375,0.001100952],"category_scores_gemma":[0.0001792625,0.0003304088,0.0008708192,0.0004598217,0.0002722334,0.00008481265,0.0001668387,0.0008089039,0.004692911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005962968,"about_ca_system_score_gemma":0.0001194747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001000584,"about_ca_topic_score_gemma":0.000008839839,"domain_scores_codex":[0.9955252,0.0008528077,0.00092612,0.001547588,0.000427006,0.000721254],"domain_scores_gemma":[0.9978695,0.0005141794,0.000315364,0.001037414,0.00001621849,0.000247314],"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":[0.00001086423,0.0001175307,0.0002708093,0.0002599296,0.00001224777,0.00001096214,0.00004138947,6.95747e-8,0.001668158,0.0005546553,0.001092328,0.9959611],"study_design_scores_gemma":[0.0001441495,0.0001256989,0.0002076243,0.003447385,0.00009779324,0.0000143043,0.000004032178,5.470199e-8,0.00004439692,0.0005468008,0.9948188,0.0005489649],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002525316,0.9870563,0.00009608058,0.001539619,0.004445339,0.002271055,0.0009274907,0.0003030568,0.000835727],"genre_scores_gemma":[0.0005110149,0.9938176,0.0003473432,0.003398497,0.001095313,0.000437285,0.00001428051,0.00009437207,0.0002843094],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9954121,"threshold_uncertainty_score":0.9999148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1709252551749171,"score_gpt":0.3916323458512242,"score_spread":0.2207070906763071,"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."}}