{"id":"W4414342577","doi":"10.7554/elife.108142.1.sa3","title":"eLife Assessment: Intrinsic and circuit mechanisms of predictive coding in a grid cell network model","year":2025,"lang":"en","type":"peer-review","venue":"","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Grid; Grid cell; Topology (electrical circuits); Population; Corollary; Network topology; Coding (social sciences); Asymmetry; Hexagonal tiling","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005512628,0.0002551592,0.0006312423,0.0001750211,0.00006813519,0.0000630074,0.0009269071,0.0001683465,0.00001836137],"category_scores_gemma":[0.00001447441,0.0002472427,0.00009892265,0.0007334343,0.0000384063,0.0001390557,0.0008131604,0.00038483,0.000003134236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008168069,"about_ca_system_score_gemma":0.0005209781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006571267,"about_ca_topic_score_gemma":0.00003412705,"domain_scores_codex":[0.9980736,0.00006766871,0.0005549738,0.000648133,0.0003768675,0.000278802],"domain_scores_gemma":[0.9985983,0.0001500512,0.0002706919,0.0007680451,0.0001374707,0.00007548192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[9.056849e-7,0.0001258145,0.000007858237,0.002740844,0.00004143138,0.000005201736,0.00008462152,0.001756766,0.00008339939,0.544573,0.4359225,0.0146576],"study_design_scores_gemma":[0.0003622922,0.00004758667,0.00007242636,0.003354705,0.000116691,0.000004536364,0.00001046558,0.9044763,0.0002197412,0.04212404,0.0487994,0.0004118054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000003925899,0.005420609,0.9563175,0.002337374,0.0005326338,0.0008171414,0.0001124346,0.0001009753,0.03435743],"genre_scores_gemma":[0.04941844,0.1057202,0.6081579,0.01633432,0.001296,0.002682892,0.002560768,0.0001681712,0.2136613],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9027196,"threshold_uncertainty_score":0.999998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02276419070275602,"score_gpt":0.2809251765260967,"score_spread":0.2581609858233406,"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."}}