{"id":"W2998872312","doi":"10.19173/irrodl.v21i1.4529","title":"Getting Started With Open Badges and Open Microcredentials","year":2020,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Educational Games and Gamification","field":"Psychology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Credential; Variety (cybernetics); Popularity; Open education; Computer science; Key (lock); Resource (disambiguation); World Wide Web; Internet privacy; Knowledge management; Psychology; Computer security","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":[0.003791521,0.00008032449,0.0002354364,0.00004451543,0.0001506717,0.0005810754,0.001882535,0.00002626152,0.0008854765],"category_scores_gemma":[0.0009285311,0.00005474173,0.00001412619,0.0003482988,0.0001485919,0.0002896564,0.001759366,0.0003710811,0.00001891197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003033381,"about_ca_system_score_gemma":0.0001335209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001609134,"about_ca_topic_score_gemma":0.00004478511,"domain_scores_codex":[0.9982776,0.0006098562,0.0003204474,0.0003068472,0.0003164081,0.0001688174],"domain_scores_gemma":[0.9986634,0.000609607,0.0001803433,0.0001581702,0.0003042351,0.00008423275],"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":[0.003255822,0.0009164152,0.3496643,0.003205627,0.0008830405,0.00006314091,0.01173443,0.00008182635,0.002846562,0.2341464,0.1176498,0.2755526],"study_design_scores_gemma":[0.00303666,0.0005124523,0.2233814,0.009580071,0.00003892005,0.00005471967,0.0299096,0.0004187447,0.0001984586,0.002204336,0.7303571,0.0003076039],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3939569,0.05510046,0.000760294,0.4459152,0.0001722707,0.007065584,0.0002290334,0.0000231955,0.09677707],"genre_scores_gemma":[0.987035,0.009057526,0.0004703134,0.001476114,0.00005994669,0.0002174394,0.0003463671,0.0000124009,0.001324829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6127073,"threshold_uncertainty_score":0.9695346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1714787493060858,"score_gpt":0.5027322339405281,"score_spread":0.3312534846344423,"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."}}