{"id":"W4398745726","doi":"10.7910/dvn/31t9zw/idnjxy","title":"Learning Analytics and xAPI.pdf","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Analytics; Computer science; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001576129,0.003290037,0.001238951,0.006400709,0.001031906,0.004132908,0.002997737,0.002165209,0.1329972],"category_scores_gemma":[0.009565491,0.0007931356,0.001556732,0.008394409,0.0005726544,0.002965426,0.003479317,0.002794374,0.21455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527835,"about_ca_system_score_gemma":0.002474361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01694362,"about_ca_topic_score_gemma":0.02433897,"domain_scores_codex":[0.9983285,0.0002216118,0.0002110291,0.0003586781,0.0004825554,0.0003976554],"domain_scores_gemma":[0.9952898,0.0009446386,0.000349178,0.00148768,0.001363649,0.0005651111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003450456,0.00001867379,0.0004347309,0.0002165062,0.000008424572,0.00000750686,0.000009663077,0.00008022827,0.00003765915,0.0002706847,0.9968739,0.00200763],"study_design_scores_gemma":[0.0002114012,0.0000311165,0.003639814,0.0003653973,0.00001556445,0.00005318847,0.000116863,0.0005429514,0.0004049766,0.001681518,0.9929101,0.00002713191],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001394579,0.00006249094,0.00005615987,0.0001280715,0.00005059821,0.00001207336,0.9974576,0.0009101605,0.001183372],"genre_scores_gemma":[0.0004076107,0.0000654992,0.0002332591,0.00006520807,0.00001602158,0.00005292009,0.9978926,0.0001386555,0.001128291],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8670027,"threshold_uncertainty_score":0.4449201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01564300356283336,"score_gpt":0.2554285081719689,"score_spread":0.2397855046091355,"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."}}