{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.03715793,0.0005641228,0.000390313,0.003585101,0.005159819,0.01214688,0.002158888,0.007158368,0.01188193],"category_scores_gemma":[0.07470959,0.0003900479,0.0006946105,0.004733769,0.01062167,0.01650542,0.009596772,0.005746613,0.002248228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009140201,"about_ca_system_score_gemma":0.01938317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04140291,"about_ca_topic_score_gemma":0.04178264,"domain_scores_codex":[0.9579477,0.0197117,0.00271249,0.002222849,0.01429591,0.003109418],"domain_scores_gemma":[0.9348979,0.03741523,0.002991905,0.008666046,0.01275682,0.003272006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000045808,0.0001989627,0.003495469,0.0006745025,0.00001852497,0.0004980487,0.02841865,0.0008424951,0.00129507,0.6053016,0.114615,0.2445959],"study_design_scores_gemma":[0.000007702739,0.00002556482,0.001496512,0.0008146517,0.000006184799,0.00009221913,0.008028801,0.0005738363,0.0007240727,0.03221097,0.9559754,0.00004405374],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01761294,0.004090391,0.05237165,0.2210327,0.002381628,0.0005239064,0.0004138958,0.0008830876,0.7006897],"genre_scores_gemma":[0.5600851,0.008883802,0.1294861,0.04226996,0.0009120451,0.001510697,0.001204072,0.001127649,0.2545205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9978411,"threshold_uncertainty_score":0.1965123,"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."}}