{"id":"W3123151395","doi":"10.38069/edenconf-2020-rw-0010","title":"Open Educational Resources in German Higher Education – An International Perspective","year":2020,"lang":"en","type":"article","venue":"EDEN Conference Proceedings","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung","keywords":"German; Open educational resources; Political science; China; Perspective (graphical); Higher education; Coronavirus disease 2019 (COVID-19); Economic growth; Regional science; Geography; Sociology; Economics; Pedagogy; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002010522,0.0001305436,0.0001278425,0.0001326372,0.0001287994,0.002107722,0.002661918,0.00005325134,0.001926522],"category_scores_gemma":[0.0001403322,0.0001384967,0.00002183334,0.0004402921,0.00003652499,0.003889662,0.0005675915,0.0002644717,0.0002076869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001606057,"about_ca_system_score_gemma":0.0006957697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002557823,"about_ca_topic_score_gemma":0.00001035831,"domain_scores_codex":[0.9987384,0.00002391914,0.0002074556,0.000574209,0.0002684715,0.0001875593],"domain_scores_gemma":[0.998951,0.00002371899,0.0001361921,0.0001118114,0.0005745434,0.0002027449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001276306,0.0001809002,0.01467347,0.000006610301,0.000007007621,2.935704e-7,0.04562767,0.000001893341,0.0004760525,0.9324105,0.00410957,0.002493308],"study_design_scores_gemma":[0.001025118,0.0003443069,0.4848315,0.0001924433,0.00001133544,0.00002334946,0.07015221,0.01303328,0.0004851668,0.06638831,0.3624749,0.001038069],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1866404,0.00002323068,0.0001182057,0.201131,0.000968224,0.0003202661,9.540212e-7,0.00009222322,0.6107055],"genre_scores_gemma":[0.9840629,0.000008907997,0.005413133,0.00313839,0.0006431199,0.00008670687,0.000009647913,0.000009781264,0.006627422],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8660222,"threshold_uncertainty_score":0.9989858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05238533685262202,"score_gpt":0.3555714732151768,"score_spread":0.3031861363625548,"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."}}