{"id":"W4220845709","doi":"10.14704/nq.2022.20.3.nq22052","title":"Global Scientific Production on Neuroeducation: An Analysis in Scopus, 2010 – 2020","year":2022,"lang":"en","type":"article","venue":"NeuroQuantology","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scopus; Knowledge production; Institution; Production (economics); Library science; Higher education; Social science; Political science; Medical education; Sociology; Medicine; MEDLINE; Law; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004213808,0.000182435,0.0002125956,0.0008034515,0.0009514977,0.0001347578,0.0004881484,0.00003536514,0.0008954717],"category_scores_gemma":[0.001066866,0.0002032406,0.00008822007,0.007552611,0.0003364316,0.0003400572,0.0001083746,0.0003650064,0.0001508332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000159895,"about_ca_system_score_gemma":0.0002610289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006379348,"about_ca_topic_score_gemma":0.0003909754,"domain_scores_codex":[0.9957443,0.00131441,0.0003323167,0.001597168,0.0005833666,0.0004284786],"domain_scores_gemma":[0.9988612,0.0001281278,0.0001776064,0.0006260093,0.00006836306,0.0001386831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001067408,0.0077907,0.5034319,0.0000217551,0.00001617527,0.0003365499,0.001202974,0.03253534,0.401126,0.0265976,0.01368191,0.01219175],"study_design_scores_gemma":[0.0005192074,0.001389394,0.9466546,0.000002804599,0.00008185258,0.0004966765,0.0006187774,0.008426444,0.0163182,0.001363353,0.02369099,0.0004377384],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791805,0.000006180325,0.00005341733,0.004181979,0.01503651,0.0003585952,0.00003122346,0.0001116836,0.001039919],"genre_scores_gemma":[0.9935864,0.000006527248,0.00001043751,0.004454092,0.0001305788,0.0001524733,0.00002876104,0.00001274749,0.001617979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4432227,"threshold_uncertainty_score":0.9804786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04825350165212396,"score_gpt":0.327652324519451,"score_spread":0.2793988228673271,"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."}}