{"id":"W1581997291","doi":"10.19173/irrodl.v15i5.1901","title":"Resource requirements and costs of developing and delivering MOOCs","year":2014,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cost–benefit analysis; Cost effectiveness; Computer science; Metric (unit); Resource (disambiguation); Higher education; Scalability; Best practice; Knowledge management; Risk analysis (engineering); Business; Marketing; Economics; Political science; Management","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":[0.004709649,0.0000570832,0.0001659761,0.00008582535,0.0001027093,0.000120666,0.0007151621,0.00001840453,0.000002925775],"category_scores_gemma":[0.001847295,0.00004218019,0.00001248039,0.0002748483,0.0001188379,0.0001736373,0.001375978,0.0002730755,6.587766e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000332876,"about_ca_system_score_gemma":0.00004775511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001913986,"about_ca_topic_score_gemma":0.000006750996,"domain_scores_codex":[0.998695,0.0003629674,0.0002498738,0.0001762083,0.0003834614,0.0001325168],"domain_scores_gemma":[0.9988626,0.0006518799,0.0001174539,0.0001355798,0.0001908516,0.00004166273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004511427,0.00005863543,0.1150131,0.002195413,0.00006935689,0.000008709821,0.0004340493,0.00039324,0.000357984,0.2790978,0.0003990032,0.6019276],"study_design_scores_gemma":[0.003077219,0.000628878,0.09452495,0.0868063,0.00003071098,0.0001018831,0.002077608,0.6208099,0.0006843123,0.0173282,0.173321,0.0006091294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7986919,0.03536424,0.07959726,0.07514352,0.0000944304,0.0009703517,0.00001914304,0.00003954876,0.01007961],"genre_scores_gemma":[0.9817401,0.01518818,0.00286225,0.0001182352,0.00001507677,0.00000438889,0.00001173905,0.000003378475,0.00005667682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6204166,"threshold_uncertainty_score":0.2211519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08028112418015916,"score_gpt":0.430182425921572,"score_spread":0.3499013017414128,"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."}}