{"id":"W2988240884","doi":"10.1080/00401706.2019.1679542","title":"Dynamic Neuroscience Statistic, Modeling, and Control","year":2019,"lang":"en","type":"article","venue":"Technometrics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Statistic; Computer science; Control (management); Neuroscience; Psychology; Cognitive science; Artificial intelligence; Mathematics; Statistics","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":[0.003304068,0.0008700009,0.001379527,0.002181723,0.0004558547,0.003949468,0.000780292,0.001165228,0.008122273],"category_scores_gemma":[0.01606762,0.0003443289,0.0006827514,0.002547349,0.002050764,0.00191783,0.0009454681,0.00240711,0.00210125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647022,"about_ca_system_score_gemma":0.001988944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002319654,"about_ca_topic_score_gemma":0.002056022,"domain_scores_codex":[0.998229,0.0006970545,0.0001173953,0.0002636501,0.0006165256,0.00007638095],"domain_scores_gemma":[0.9943494,0.004004845,0.000259073,0.000430215,0.0008430663,0.000113356],"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":[0.00005370829,0.00002656109,0.0006563576,0.0003449321,0.00008303529,0.00007377301,0.0001562716,0.0253268,0.0005482598,0.6293254,0.1843234,0.1590816],"study_design_scores_gemma":[0.0000129323,0.00005334009,0.001353839,0.000126713,0.00003878391,0.0001429543,0.00008810596,0.08168164,0.0003820042,0.6813759,0.2346899,0.00005391277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005006634,0.06883129,0.8151004,0.03093152,0.02970804,0.00005096687,0.001145572,0.0013397,0.04788593],"genre_scores_gemma":[0.3969222,0.119436,0.2475812,0.008534541,0.08359095,0.0004280566,0.002417418,0.002291045,0.1387985],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008122273,"threshold_uncertainty_score":0.02717167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02003454735586753,"score_gpt":0.2495629239659706,"score_spread":0.229528376610103,"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."}}