{"id":"W2902760328","doi":"10.19173/irrodl.v19i5.3908","title":"User Consent in MOOCs – Micro, Meso, and Macro Perspectives","year":2018,"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":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Internet privacy; Agency (philosophy); Legislature; Download; Informed consent; Data sharing; Computer science; Data science; World Wide Web; Computer security; Political science; Sociology; Law","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":[0.003709503,0.00006880634,0.0001706382,0.0001294626,0.0001064753,0.0002178384,0.001010026,0.00002336389,0.00004032271],"category_scores_gemma":[0.001892918,0.00004869329,0.00002082381,0.0004821552,0.0003058983,0.0001838036,0.001149556,0.0004672715,0.000008700462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005486,"about_ca_system_score_gemma":0.0001366033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004318174,"about_ca_topic_score_gemma":0.00006482226,"domain_scores_codex":[0.9985321,0.0004468866,0.0002326573,0.0002440888,0.0003582083,0.0001860386],"domain_scores_gemma":[0.9987184,0.0006786466,0.000078303,0.0001761876,0.0003017835,0.00004671723],"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":[0.0002170466,0.0006363212,0.4589539,0.002248929,0.0001688901,0.0001513301,0.006011654,0.0002353224,0.001164036,0.4153895,0.01112686,0.1036962],"study_design_scores_gemma":[0.005133545,0.00111086,0.2519894,0.04763096,0.00002750674,0.0002901809,0.02090011,0.1681127,0.000933697,0.03423443,0.4687014,0.0009352725],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6737676,0.07450169,0.006129357,0.2281785,0.0001870203,0.001279839,0.00004384755,0.00004556825,0.01586664],"genre_scores_gemma":[0.9697055,0.02812246,0.001283927,0.0001745774,0.00004202723,0.000009601918,0.00001081633,0.000004118644,0.0006470303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4575745,"threshold_uncertainty_score":0.2266136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07460499974563764,"score_gpt":0.4576457354176388,"score_spread":0.3830407356720011,"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."}}