{"id":"W2150870505","doi":"10.1016/j.brainres.2007.06.030","title":"Preface to the special issue: Computational cognitive neuroscience","year":2007,"lang":"en","type":"article","venue":"Brain Research","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Neuroscience; Cognitive neuroscience; Cognitive science; Computational neuroscience; Cognition; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00710459,0.00008942405,0.00007726102,0.0003257556,0.0008808479,0.0004758672,0.001708467,0.00002846447,0.00007293999],"category_scores_gemma":[0.002919075,0.00006662199,0.00003577672,0.003045593,0.0003800978,0.0004350765,0.001045126,0.0003500358,0.001007635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000497474,"about_ca_system_score_gemma":0.0002693126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003031401,"about_ca_topic_score_gemma":0.00007330769,"domain_scores_codex":[0.9965935,0.0002479214,0.0001640618,0.0005849122,0.001628468,0.0007811337],"domain_scores_gemma":[0.9965653,0.002215378,0.0000268337,0.0002850455,0.0006705626,0.0002368913],"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":[0.00003781024,0.0001190597,0.0005845377,0.000007539098,0.000004131688,0.0001113416,0.008112606,0.0004058293,0.002352784,0.04731468,0.244521,0.6964287],"study_design_scores_gemma":[0.0003837904,0.0003706504,0.1819602,0.00005698626,0.000001105315,0.00004273052,0.001676132,0.01764744,0.001844905,0.00962481,0.7861078,0.0002834791],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02130934,0.00001980442,0.8539502,0.05897895,0.0007221533,0.0007850749,0.000005520998,0.00007559899,0.06415332],"genre_scores_gemma":[0.9699279,0.000003147191,0.005292762,0.01274234,0.002732476,0.00003359364,0.000001844534,0.000009168296,0.009256748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9486186,"threshold_uncertainty_score":0.9997702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1217930614804242,"score_gpt":0.4351955824058231,"score_spread":0.3134025209253989,"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."}}