{"id":"W2950234133","doi":"10.1016/j.neuron.2018.04.015","title":"Cocaine Place Conditioning Strengthens Location-Specific Hippocampal Coupling to the Nucleus Accumbens","year":2018,"lang":"en","type":"article","venue":"Neuron","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":132,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institutes of Health; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Leon Levy Foundation; National Institute on Drug Abuse; Brain and Behavior Research Foundation; Foundation for the National Institutes of Health","keywords":"Nucleus accumbens; Neuroscience; Hippocampal formation; Conditioning; Psychology; Nucleus; Coupling (piping); Central nervous system; Materials science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001854569,0.0001741359,0.0001277026,0.00006188214,0.0007440399,0.0001367179,0.0004507684,0.00004835114,0.0003253433],"category_scores_gemma":[0.0005259009,0.0001364614,0.00003826582,0.0004525492,0.0001273031,0.0001588519,0.0001092725,0.0002432009,0.001660975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002980221,"about_ca_system_score_gemma":0.0000269651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002089065,"about_ca_topic_score_gemma":0.00002161331,"domain_scores_codex":[0.9984558,0.0001032274,0.000224883,0.0005206586,0.0003253823,0.0003700427],"domain_scores_gemma":[0.9986743,0.0005245946,0.00009187614,0.0005010882,0.00007355748,0.0001346329],"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":[0.00008143931,0.00004137844,0.0000212912,0.000005889198,0.000001356029,0.00002117309,0.0005875431,0.00165022,0.9867206,0.005082111,0.00450978,0.001277253],"study_design_scores_gemma":[0.0002907702,0.0004422244,0.0005011535,0.00002832257,0.000006709198,0.0000480115,0.000134381,0.006443137,0.9575611,0.000329192,0.03402071,0.0001942981],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993485,0.000009538297,0.001208029,0.001867324,0.001550388,0.0003751715,0.00002335029,0.0001758875,0.001305264],"genre_scores_gemma":[0.9938453,0.00001623451,0.00008268371,0.004817536,0.0006868175,0.00002480399,0.000003367709,0.00003300005,0.000490246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02951093,"threshold_uncertainty_score":0.9991164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08653246994598832,"score_gpt":0.3142263381586255,"score_spread":0.2276938682126372,"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."}}