{"id":"W2133474950","doi":"10.19173/irrodl.v9i1.469","title":"Open Content and Open Educational Resources: Enabling universal education","year":2008,"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":330,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distance education; Open education; Reproduction; Production (economics); Universal Primary Education; Quality (philosophy); Business; Economic growth; Economics; Sociology; Developing country; Pedagogy; Microeconomics","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":[0.003407742,0.0004065669,0.0004320069,0.001510267,0.001884198,0.01042866,0.001591179,0.003746565,0.01231074],"category_scores_gemma":[0.007685836,0.0002736638,0.0003591329,0.002213974,0.01085318,0.02316753,0.01238932,0.002760991,0.002608647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002365023,"about_ca_system_score_gemma":0.004769685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001739228,"about_ca_topic_score_gemma":0.001751935,"domain_scores_codex":[0.9961866,0.001419091,0.0001636867,0.0003848327,0.001413398,0.0004325099],"domain_scores_gemma":[0.9938062,0.003155499,0.0005828825,0.0009339884,0.0006007332,0.0009207008],"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":[0.00001644112,0.00003412102,0.0003062212,0.0004797642,0.000006155608,0.00009063043,0.001910888,0.0002121258,0.0004735033,0.856195,0.008989443,0.1312858],"study_design_scores_gemma":[0.00001035888,0.00003906887,0.0009333126,0.0007745816,0.000009969874,0.0003380795,0.002303275,0.0004224624,0.0008228839,0.5630727,0.4312504,0.0000228738],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02941381,0.07467063,0.1373397,0.1050743,0.002059814,0.0001413188,0.0001624094,0.0007164117,0.6504216],"genre_scores_gemma":[0.6922011,0.09419092,0.07865778,0.01474189,0.004410364,0.0004242659,0.0002995584,0.0004124168,0.1146617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9984088,"threshold_uncertainty_score":0.04118353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1614285131294149,"score_gpt":0.4369210195471709,"score_spread":0.275492506417756,"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."}}