{"id":"W4239333878","doi":"10.3410/f.726373905.793520843","title":"Faculty Opinions recommendation of A shared neural ensemble links distinct contextual memories encoded close in time.","year":2016,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001491746,0.00263165,0.001234403,0.0027107,0.0006680675,0.001608447,0.003127137,0.00295649,0.01537113],"category_scores_gemma":[0.007325386,0.000433503,0.001914168,0.003127534,0.0004510412,0.001755473,0.001494686,0.001833523,0.02396047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630593,"about_ca_system_score_gemma":0.002591392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03778654,"about_ca_topic_score_gemma":0.1343886,"domain_scores_codex":[0.9988568,0.000201344,0.0001044425,0.0004230988,0.0002579464,0.0001564342],"domain_scores_gemma":[0.998111,0.0003354928,0.000139972,0.0005782103,0.0006364465,0.0001989392],"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":[0.0007184237,0.000295469,0.009747388,0.0007912148,0.0002584412,0.0001068931,0.0000457949,0.002909131,0.001270123,0.0004738177,0.9440348,0.03934851],"study_design_scores_gemma":[0.001521584,0.0008030834,0.05219976,0.0009556917,0.00101742,0.0009034538,0.0006331124,0.08127887,0.01848206,0.00821201,0.8336763,0.0003167158],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02159351,0.002765493,0.003150128,0.00174578,0.001141186,0.0002632203,0.9553376,0.005288564,0.008714572],"genre_scores_gemma":[0.02687457,0.0004749921,0.005173373,0.0002719335,0.0001665984,0.0001660172,0.9580093,0.0001448715,0.008718232],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03778654,"threshold_uncertainty_score":0.0751332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02862512054702133,"score_gpt":0.3302195331607035,"score_spread":0.3015944126136822,"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."}}