{"id":"W3204056100","doi":"10.1111/mbe.12302","title":"Opportunities and Limitations of Mobile Neuroimaging Technologies in Educational Neuroscience","year":2021,"lang":"en","type":"article","venue":"Mind Brain and Education","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"H2020 European Research Council; Jacobs Foundation","keywords":"Neuroimaging; Functional neuroimaging; Cognitive science; Psychology; Neuroscience; Computer science; Data science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001336358,0.00008783574,0.00008960783,0.000281872,0.0001540534,0.00008360056,0.0000816712,0.00002927125,0.00001927781],"category_scores_gemma":[0.003395185,0.00009333472,0.00001479737,0.0006099876,0.0004032379,0.0003695766,0.0000512984,0.00009617695,0.00000216706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001589377,"about_ca_system_score_gemma":0.0005944988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005944044,"about_ca_topic_score_gemma":0.00000950572,"domain_scores_codex":[0.9990286,0.00009566369,0.0001968332,0.0003950386,0.0001413695,0.0001425149],"domain_scores_gemma":[0.9989906,0.0006519654,0.00008682156,0.000129091,0.00009247178,0.00004907825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004759493,0.0004308567,0.004960657,0.00002739089,3.075369e-7,0.00000233847,0.001510501,0.000005479921,0.5846077,0.01214855,0.0006075938,0.3956939],"study_design_scores_gemma":[0.0005849235,0.0002567172,0.296616,0.000166211,0.00001822435,0.0005911037,0.06331041,0.001121703,0.4864151,0.0168889,0.1334532,0.0005776304],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97606,0.0002691438,0.00004549411,0.01823999,0.0006673331,0.0001482032,0.000005596591,0.00001881309,0.004545476],"genre_scores_gemma":[0.9945911,0.000918984,0.000181387,0.001664493,0.00002391458,0.00007392804,0.000005620875,0.000005718838,0.002534825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3951163,"threshold_uncertainty_score":0.4064598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1184169875257586,"score_gpt":0.3159677433511388,"score_spread":0.1975507558253802,"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."}}