{"id":"W4390066225","doi":"10.59694/ped_sciences.2023.05.0082","title":"NEURODIVERSITY IN HIGHER EDUCATION: TIME SERIES DATA ANALYSIS OF THE NEPTUN UNIFIED EDUCATION SYSTEM","year":2023,"lang":"en","type":"article","venue":"Academis notes Series Pedagogical sciences","topic":"Higher Education Learning Practices","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Graduation (instrument); Inclusion (mineral); Diversity (politics); Psychology; Higher education; Quarter (Canadian coin); Mathematics education; Process (computing); Medical education; Pedagogy; Social psychology; Sociology; Computer science; Mathematics; Medicine; Political science; History","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00268691,0.0001435829,0.0002820328,0.0002871368,0.001233178,0.0001886552,0.002353673,0.0001907641,0.00165022],"category_scores_gemma":[0.002029159,0.0001080298,0.00008220683,0.00928326,0.001553976,0.002532761,0.0005245126,0.0003388996,0.0001349461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000124517,"about_ca_system_score_gemma":0.002100401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003621006,"about_ca_topic_score_gemma":0.0006995266,"domain_scores_codex":[0.9966785,0.0009960395,0.0003915784,0.0006058338,0.0009458617,0.0003821997],"domain_scores_gemma":[0.9977571,0.0009644499,0.0004115833,0.0005678821,0.000162245,0.0001367131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004351749,0.0002699011,0.7577111,0.00006856556,0.0001156662,0.000001257175,0.04284236,0.001370542,0.0003911295,0.1833917,0.008538769,0.005255567],"study_design_scores_gemma":[0.00003971691,0.00002823478,0.5576971,0.00004157801,0.0001961789,9.509166e-7,0.04161111,0.00007802264,0.00003597098,0.0004679262,0.3996157,0.0001875096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8585495,0.000246126,0.000001611305,0.1008216,0.001626306,0.0003232209,0.00003253677,0.0002023344,0.03819675],"genre_scores_gemma":[0.9645789,0.0001710085,0.0002462589,0.0003905673,0.0002949684,0.00001767489,0.00004512944,0.000005648138,0.03424979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3910769,"threshold_uncertainty_score":0.9992624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.320269340034645,"score_gpt":0.4535756669774648,"score_spread":0.1333063269428198,"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."}}