{"id":"W2884598126","doi":"10.1016/j.nlm.2018.07.004","title":"Editorial: MCCS 2018: Time and Memory","year":2018,"lang":"en","type":"editorial","venue":"Neurobiology of Learning and Memory","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Psychology; Context (archaeology); Amygdala; Associative learning; Neuroscience; Cognitive psychology; Hippocampus; Functional magnetic resonance imaging; Contextual learning; Hippocampal formation; Contrast (vision); Fear conditioning; Computer science; Artificial intelligence","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0008267582,0.0005488572,0.0009535813,0.000234998,0.000396281,0.00004348635,0.0004152771,0.001512373,0.000183724],"category_scores_gemma":[0.005651924,0.000495818,0.0001171594,0.0001394522,0.001109504,0.0001237304,0.000420365,0.002101415,0.0001662379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001568456,"about_ca_system_score_gemma":0.0001463506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007784522,"about_ca_topic_score_gemma":0.000001581951,"domain_scores_codex":[0.9959509,0.001181596,0.000544271,0.001334684,0.0004229265,0.0005655899],"domain_scores_gemma":[0.9951611,0.003489046,0.0006097522,0.0003972659,0.000130535,0.0002123151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001499045,0.00002160288,0.000001735376,0.00008979245,0.000007790635,0.000009887121,0.00008099039,0.00000156982,0.3882183,0.000002356057,0.6108889,0.0005271446],"study_design_scores_gemma":[0.0007147489,0.001605998,0.000002538157,0.0001016646,0.00007286659,0.00003548809,0.00002061353,0.00001592542,0.2659172,0.0000825548,0.7310345,0.0003958747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.1102849,0.0001727922,0.000001346183,0.00007201059,0.887291,0.0002627807,0.00007717792,0.0001705512,0.001667411],"genre_scores_gemma":[0.00216107,0.00129271,0.00003921975,0.0001430397,0.9769889,0.00001491085,0.0000536655,0.00009516083,0.01921131],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1223011,"threshold_uncertainty_score":0.9997839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121133615510764,"score_gpt":0.2831839813216711,"score_spread":0.2619726451665635,"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."}}