{"id":"W2074001270","doi":"10.1007/s12559-013-9209-0","title":"Improved Path Integration Using a Modified Weight Combination Method","year":2013,"lang":"en","type":"article","venue":"Cognitive Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; Defence Research and Development Canada","funders":"","keywords":"Robustness (evolution); Computer science; Path integration; Network packet; Artificial neural network; Artificial intelligence; Control theory (sociology)","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":[],"consensus_categories":[],"category_scores_codex":[0.0001483138,0.0001461843,0.0001277081,0.00014975,0.0002091629,0.0001536819,0.00004818109,0.00006599973,0.00004218185],"category_scores_gemma":[0.0004944786,0.0001342574,0.0000530461,0.0003507313,0.00004259174,0.0006340058,0.00003412153,0.0001417914,0.00005411385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006105265,"about_ca_system_score_gemma":0.00002561716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006133629,"about_ca_topic_score_gemma":0.000002010628,"domain_scores_codex":[0.9987388,0.0002850376,0.0002341409,0.0003812459,0.000187774,0.0001729564],"domain_scores_gemma":[0.9989063,0.0004480802,0.0001839226,0.00003925524,0.0003677713,0.00005465058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002416533,0.00007884926,0.00001700577,0.000008027051,0.000003414496,0.00000130249,0.00009806635,0.0002577193,0.7205938,0.001358484,0.00003675477,0.2775225],"study_design_scores_gemma":[0.0006379765,0.0001203624,0.001500325,0.00003341543,0.00001613549,0.00000999362,0.00007229341,0.8887745,0.09850439,0.01018369,0.00000282694,0.0001441667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3976803,0.00000305772,0.6006623,0.0000992034,0.0002994454,0.0004720395,0.000005727299,0.00007043469,0.0007074901],"genre_scores_gemma":[0.995753,0.000003790364,0.003301926,0.0006381106,0.00006318639,0.00005318676,0.0000730841,0.00001908192,0.00009458488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8885167,"threshold_uncertainty_score":0.5474856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05154723131797048,"score_gpt":0.3131476835928863,"score_spread":0.2616004522749158,"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."}}