{"id":"W1754838161","doi":"10.19173/irrodl.v16i5.2404","title":"Open Educational Resources in Canada 2015","year":2015,"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":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"European Commission; Canarie","keywords":"Open educational resources; Open education; Political science; Government (linguistics); Public administration; Open government; Declaration; Distance education; Commons; State (computer science); Economic growth; Library science; Public relations; Open data; Sociology; Pedagogy; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007858103,0.00007800811,0.0002003047,0.0001238487,0.0001160516,0.0005996081,0.004605405,0.00001833359,0.0001830205],"category_scores_gemma":[0.003476384,0.00005924534,0.00001456322,0.000833348,0.00006501419,0.0006861019,0.003136265,0.0006053124,0.00002156079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005617666,"about_ca_system_score_gemma":0.004172457,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5960904,"about_ca_topic_score_gemma":0.1327489,"domain_scores_codex":[0.9974536,0.0008494197,0.0003734554,0.0002695639,0.0008188355,0.0002350908],"domain_scores_gemma":[0.9982207,0.0007943086,0.000143423,0.0002443929,0.0004587982,0.0001384076],"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":[0.0001333014,0.0003638708,0.5011812,0.0006132017,0.0000508548,0.00003288541,0.002621436,0.002164169,0.00001570679,0.2303758,0.214237,0.04821061],"study_design_scores_gemma":[0.001333057,0.00009424098,0.1150298,0.006699053,0.000002880873,0.00003946432,0.02189593,0.01000192,0.00002146098,0.007472195,0.8371559,0.000254123],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1204751,0.02785208,0.0003667375,0.5168343,0.0008869186,0.002624177,0.00003281243,0.00001793922,0.3309099],"genre_scores_gemma":[0.9932758,0.003738753,0.0005753634,0.0005931174,0.00004235494,0.00009376707,0.00007350549,0.000005398032,0.001601957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8728006,"threshold_uncertainty_score":0.8830762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1151151699531603,"score_gpt":0.4511946463597567,"score_spread":0.3360794764065964,"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."}}