{"id":"W4293197071","doi":"10.1007/978-1-0716-1006-0_166","title":"Neuronal Model Reduction","year":2022,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Reduction (mathematics); Computer science; Mathematics; Geometry","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":[0.000177892,0.00103751,0.0007451696,0.0005835551,0.0003647006,0.0009848792,0.0009789104,0.0006696954,0.04367402],"category_scores_gemma":[0.0006712855,0.0004015348,0.0009310534,0.0006439467,0.0004218529,0.001033792,0.00104465,0.001580573,0.02450923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005276575,"about_ca_system_score_gemma":0.0005157157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001722257,"about_ca_topic_score_gemma":0.00268819,"domain_scores_codex":[0.9998505,0.00002243834,0.00000604854,0.00003806552,0.00007360252,0.000009250909],"domain_scores_gemma":[0.9998963,0.00003177131,0.000003221366,0.0000354164,0.00002881338,0.000004392424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000314637,0.00005250549,0.0001290265,0.0003613355,0.00008347366,0.0001329392,0.00006550649,0.06721688,0.004919579,0.2920752,0.1956796,0.4392525],"study_design_scores_gemma":[0.00001155579,0.00002242177,0.000170883,0.0000824904,0.00003150713,0.0002514533,0.00002585021,0.1745551,0.004226063,0.5314459,0.2891501,0.00002663797],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001559154,0.00410805,0.7315874,0.001068139,0.001035822,0.00008620525,0.00149637,0.00381467,0.2552443],"genre_scores_gemma":[0.09349792,0.01109073,0.3881999,0.001105344,0.0009253946,0.0004938202,0.009274069,0.004341096,0.4910717],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04367402,"threshold_uncertainty_score":0.1461042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03071939714224891,"score_gpt":0.2505121117233829,"score_spread":0.219792714581134,"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."}}