{"id":"W4393904477","doi":"10.55982/openpraxis.16.2.650","title":"Artificial Intelligence Use to Empower the Implementation of OER and the UNESCO OER Recommendation","year":2024,"lang":"en","type":"article","venue":"Open Praxis","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Open educational resources; Context (archaeology); Computer science; Equity (law); Knowledge management; Engineering ethics; Political science; World Wide Web; Engineering","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":[0.0008965567,0.00005429702,0.0000702515,0.00003517428,0.0001061437,0.0008032806,0.0004583182,0.00001445205,0.00008973522],"category_scores_gemma":[0.00006481847,0.00002943297,0.0000226556,0.0003275798,0.00004015705,0.0004535252,0.0003905285,0.00008962367,0.00004086109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009563211,"about_ca_system_score_gemma":0.00003947406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005628474,"about_ca_topic_score_gemma":0.0002118104,"domain_scores_codex":[0.9993365,0.0001180197,0.0001856067,0.0001759602,0.0001001127,0.00008374917],"domain_scores_gemma":[0.9994076,0.000261104,0.00004333685,0.0002273806,0.00003971255,0.00002087608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001444646,0.00001534477,0.0003970051,0.00000682285,0.00002605959,9.634565e-7,0.006386895,0.0001215347,0.000101634,0.2043958,0.003776617,0.7847568],"study_design_scores_gemma":[0.0003693643,0.0005144466,0.007497331,0.0001869276,0.0001080038,0.00002231569,0.008569017,0.3718245,0.01072994,0.1068714,0.4927484,0.0005583456],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1196437,0.00009699154,0.5207903,0.3560405,0.0008828741,0.001068211,0.00001999161,0.00006979494,0.001387613],"genre_scores_gemma":[0.9924852,0.00002390809,0.006117837,0.0007076932,0.00004451351,0.00001369773,0.000005084452,0.00000481596,0.0005972642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8728415,"threshold_uncertainty_score":0.7746053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04604301474914391,"score_gpt":0.3957091899130202,"score_spread":0.3496661751638763,"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."}}