{"id":"W1999574759","doi":"10.1016/s0165-0270(00)00213-2","title":"Simulation of cross-correlograms resulting from synaptic connections between neurons","year":2000,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Medical Research Council","keywords":"Executable; Computer science; Upload; Event (particle physics); Simple (philosophy); Cross-correlation; Simulation; Mathematics; Statistics; Programming language; Physics; Operating system","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":[0.000527123,0.0004037965,0.0005893745,0.0006163754,0.000480232,0.0005149326,0.001240401,0.001535623,0.004259193],"category_scores_gemma":[0.003559871,0.0004038028,0.0006150877,0.0007217344,0.0005819544,0.000576312,0.0004787201,0.0007755706,0.0002224314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009439835,"about_ca_system_score_gemma":0.001095715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01494043,"about_ca_topic_score_gemma":0.009158703,"domain_scores_codex":[0.9998567,0.00003044903,0.000009224775,0.0000226864,0.00004261747,0.00003826682],"domain_scores_gemma":[0.9983754,0.001077294,0.00009234729,0.00008653411,0.0002335668,0.000134854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001018913,0.00004897149,0.001124224,0.00004225146,0.00004161598,0.0002187766,0.00004986455,0.9889364,0.002126824,0.004631205,0.0003447446,0.002333364],"study_design_scores_gemma":[0.000008282946,0.000007134811,0.0001740396,0.000001967255,0.000004321159,0.00001534186,0.000005000525,0.9988403,0.0004289224,0.0004805093,0.00003116726,0.000003097157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8854857,0.0001992548,0.1046814,0.0004409692,0.0002050128,0.0000681758,0.00045887,0.0007411888,0.007719447],"genre_scores_gemma":[0.9913883,0.00004862652,0.007352147,0.00004144292,0.00001673341,0.00003738404,0.0001249721,0.00006026713,0.0009302226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01494043,"threshold_uncertainty_score":0.02970695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1221161987232302,"score_gpt":0.4285740769107521,"score_spread":0.3064578781875219,"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."}}