{"id":"W4298016074","doi":"","title":"Stochastic Multiple Stream Decoding of Cortex Codes","year":2011,"lang":"en","type":"preprint","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Decoding methods; Cortex (anatomy); Computer science; Neural decoding; Neuroscience; Algorithm; 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":[0.0006715514,0.0006453251,0.0008246786,0.0005975096,0.0003365696,0.001365999,0.0006572339,0.001274323,0.006769869],"category_scores_gemma":[0.006820879,0.0003208227,0.0005418763,0.0008405581,0.000587068,0.001315526,0.0009465028,0.001347851,0.001512246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007223544,"about_ca_system_score_gemma":0.001077889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002146192,"about_ca_topic_score_gemma":0.00292073,"domain_scores_codex":[0.9995551,0.0001322084,0.00002545688,0.00008494526,0.0001370648,0.00006524648],"domain_scores_gemma":[0.9978721,0.001250881,0.0001353904,0.0002091738,0.0004105098,0.0001219286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006631505,0.00008827733,0.002153449,0.0003961051,0.0001254973,0.0004671521,0.000242138,0.3592098,0.02639885,0.4009621,0.01702878,0.1922647],"study_design_scores_gemma":[0.00001601278,0.00001880366,0.0003024152,0.00002458365,0.000009279909,0.00007742818,0.00001532735,0.8840613,0.005517558,0.1085836,0.001358648,0.0000150409],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09103999,0.001004813,0.8877015,0.002169418,0.0005481953,0.00005234097,0.0008562784,0.001107638,0.01551982],"genre_scores_gemma":[0.8432718,0.00135141,0.1209446,0.0005373111,0.0007660445,0.0001075733,0.001096593,0.0005733481,0.03135144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006769869,"threshold_uncertainty_score":0.02264744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0434902604558877,"score_gpt":0.2685103000962361,"score_spread":0.2250200396403484,"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."}}