{"id":"W2085064882","doi":"10.1016/j.conb.2012.05.007","title":"Making decisions through a distributed consensus","year":2012,"lang":"en","type":"review","venue":"Current Opinion in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":353,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Representation (politics); Psychology; Competition (biology); Neuroscience; Cognitive science; Cognitive psychology; Computer science; Political science; Biology","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"],"consensus_categories":[],"category_scores_codex":[0.000188364,0.0005286386,0.001225751,0.0002689005,0.0001422932,0.00004152089,0.0005268559,0.0003562403,0.00006033162],"category_scores_gemma":[0.001204572,0.0004187557,0.0003781081,0.0008265054,0.0002198295,0.00007419444,0.000386617,0.001099861,0.0002847679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001146773,"about_ca_system_score_gemma":0.0001158389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001615237,"about_ca_topic_score_gemma":9.849324e-7,"domain_scores_codex":[0.9961201,0.001088082,0.0009659121,0.0009846671,0.0001400241,0.0007012103],"domain_scores_gemma":[0.9962522,0.002534278,0.0005756344,0.0005309592,0.00002669549,0.00008019994],"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":[0.00001641306,0.0002413838,0.00001779927,0.002990316,0.000006822074,0.000006964629,0.00001734675,0.000008464535,0.00003662753,0.0098665,0.002923646,0.9838677],"study_design_scores_gemma":[0.0001792055,0.00005945824,0.00001428008,0.004990602,0.00004502065,0.0002754164,0.000001298842,0.00004112937,0.000001655351,0.0004692431,0.9935549,0.0003677401],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003055026,0.9629632,0.0002374599,0.000077789,0.03483187,0.0008981022,0.0007281455,0.0001054148,0.0001274655],"genre_scores_gemma":[0.0002662946,0.998349,0.00002255731,0.00006982686,0.0005838325,0.0001309134,0.0005101846,0.00005234844,0.00001508548],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9906313,"threshold_uncertainty_score":0.9998264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.43624459177578,"score_gpt":0.4568695636911873,"score_spread":0.0206249719154073,"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."}}