{"id":"W2940197051","doi":"10.19173/irrodl.v20i1.3853","title":"University Teachers and Open Educational Resources: Case Studies from Latin America","year":2019,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad de la República Uruguay","keywords":"Open educational resources; Open education; Professional development; Curriculum; Educational technology; Sociology; Latin Americans; Pedagogy; Knowledge management; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.003174923,0.000410289,0.0006361566,0.00224334,0.006839103,0.00353719,0.001212045,0.001930821,0.002790855],"category_scores_gemma":[0.006890007,0.0004058082,0.0003132827,0.005082101,0.004105825,0.002886876,0.004605304,0.001306245,0.0002605904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005981714,"about_ca_system_score_gemma":0.003203497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04462921,"about_ca_topic_score_gemma":0.08665398,"domain_scores_codex":[0.9969707,0.001957668,0.0001461987,0.0001815245,0.0002230055,0.0005210139],"domain_scores_gemma":[0.9947399,0.003598501,0.000573493,0.0002297076,0.0004234037,0.0004349712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000115629,0.001125733,0.04792141,0.0006762413,0.00002441929,0.01508662,0.8921259,0.0003655666,0.001172923,0.005658698,0.001055138,0.03467171],"study_design_scores_gemma":[0.00002242384,0.0001117892,0.01784607,0.0003384986,0.00001832383,0.001460715,0.9544327,0.0001442304,0.0003900174,0.0005999618,0.02461893,0.00001645866],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990396,0.00124741,0.0004586395,0.0006574248,0.000008925879,0.00007105728,0.00003296212,0.000007087952,0.0071205],"genre_scores_gemma":[0.9939392,0.002118458,0.0008041468,0.0002790263,0.00001051509,0.0001158178,0.00003655057,0.0000146229,0.002681757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9987879,"threshold_uncertainty_score":0.08873892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09563525156052838,"score_gpt":0.4362532617765699,"score_spread":0.3406180102160415,"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."}}