{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002792267,0.00007538567,0.0002134105,0.00009429765,0.0002542291,0.000429063,0.001888847,0.00002061027,0.0002602665],"category_scores_gemma":[0.00143668,0.0000582015,0.00002005851,0.0004919492,0.0001577711,0.0006187103,0.003164579,0.000486959,0.00003205527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001109279,"about_ca_system_score_gemma":0.0002087275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003009439,"about_ca_topic_score_gemma":0.00004459488,"domain_scores_codex":[0.9981905,0.0008123843,0.0002042753,0.0002997008,0.0003432827,0.0001498529],"domain_scores_gemma":[0.9976572,0.001639412,0.0001465528,0.0002138869,0.0002725828,0.00007041031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002636839,0.0005906478,0.5068564,0.001394558,0.0005761422,0.0002570258,0.0332859,0.0006561581,0.000155317,0.2119082,0.03152733,0.2125286],"study_design_scores_gemma":[0.001727098,0.000218295,0.06162383,0.008200556,0.00001914185,0.0001660632,0.1866363,0.008005291,0.00001553836,0.004287912,0.7287433,0.0003567215],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8452475,0.0152819,0.0002749421,0.08082782,0.0002251666,0.001493857,0.00004056628,0.00001952006,0.05658874],"genre_scores_gemma":[0.9789478,0.01547688,0.001673535,0.0002957977,0.00002759823,0.00001341029,0.00006108775,0.000004819477,0.003499089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6972159,"threshold_uncertainty_score":0.4549392,"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."}}