{"id":"W4307633144","doi":"10.3390/brainsci12111454","title":"Mapping Neuroscience in the Field of Education through a Bibliometric Analysis","year":2022,"lang":"en","type":"review","venue":"Brain Sciences","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Ningbo University","keywords":"Field (mathematics); Psychology; Cognitive neuroscience; Curriculum; Social neuroscience; Empathy; Cognition; Data science; Neuroscience; Computer science; Social cognition; Pedagogy; Social psychology","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007548234,0.0009018818,0.001837571,0.1001366,0.0008621411,0.003179365,0.001034577,0.0007345949,0.003727366],"category_scores_gemma":[0.02179651,0.0003528782,0.001685163,0.1052571,0.0005910108,0.003876103,0.001674024,0.0005192878,0.0006210669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00200069,"about_ca_system_score_gemma":0.006254982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005257629,"about_ca_topic_score_gemma":0.007530213,"domain_scores_codex":[0.9938223,0.001660542,0.001233319,0.0005974135,0.002507053,0.0001794086],"domain_scores_gemma":[0.9883732,0.007362041,0.001507669,0.0003745341,0.002228276,0.0001542878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006810958,0.00006057035,0.02003594,0.07287116,0.001553036,0.0003044674,0.00152802,0.001302193,0.0007145646,0.009607346,0.01151031,0.8804443],"study_design_scores_gemma":[0.00008884409,0.0003504931,0.1913873,0.07246098,0.01270711,0.002717384,0.008717353,0.007059535,0.002915797,0.0254467,0.675824,0.000324589],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04318925,0.8932819,0.01844717,0.004086058,0.0007151752,0.001364524,0.007644657,0.0003348729,0.03093634],"genre_scores_gemma":[0.1870498,0.7724321,0.03022496,0.0003992438,0.0006804052,0.001319848,0.005544506,0.00005389544,0.002295254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8998634,"threshold_uncertainty_score":0.03991932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2272268164202298,"score_gpt":0.451051150812898,"score_spread":0.2238243343926682,"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."}}