{"id":"W1514690732","doi":"10.19173/irrodl.v16i1.1960","title":"A bibliometric mapping of open educational resources","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":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Open educational resources; Scopus; Openness to experience; Computer science; Library science; Higher education; Open education; Bibliometrics; Field (mathematics); World Wide Web; Face (sociological concept); Data science; Sociology; Political science; Social science; MEDLINE; Psychology","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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.004628969,0.0007237825,0.001302346,0.1878319,0.001414457,0.005466301,0.000915598,0.0006899189,0.008002241],"category_scores_gemma":[0.03434781,0.0002987452,0.001568854,0.2371274,0.00084589,0.004145614,0.00285385,0.0005729041,0.002517225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002272278,"about_ca_system_score_gemma":0.004391795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008019426,"about_ca_topic_score_gemma":0.005653179,"domain_scores_codex":[0.9894404,0.002270631,0.001467974,0.0009862037,0.00527938,0.0005554943],"domain_scores_gemma":[0.9717402,0.01632755,0.004002316,0.001491824,0.005885459,0.0005526175],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004447356,0.0003749199,0.3268339,0.01753788,0.001322582,0.001498073,0.0132237,0.007995571,0.004909462,0.04725368,0.03715831,0.5414472],"study_design_scores_gemma":[0.00007960778,0.0003104563,0.7038212,0.003112373,0.0008043069,0.002282627,0.02567815,0.01809305,0.004138699,0.01573174,0.2257596,0.0001881144],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7110769,0.02598162,0.01702172,0.002061787,0.0003714843,0.001271751,0.09517474,0.001172309,0.1458677],"genre_scores_gemma":[0.9031386,0.01684597,0.0258382,0.00009490045,0.0003447084,0.001435567,0.04414813,0.0002167068,0.007937166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.995371,"threshold_uncertainty_score":0.02677017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1978245220914774,"score_gpt":0.4810896702639709,"score_spread":0.2832651481724935,"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."}}