{"id":"W6894179478","doi":"10.5683/sp3/g6bfzb","title":"OLab3 case analytics technical report","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Metadata; Resource (disambiguation); Object (grammar); Analytics; Publication; Technical report; Data analysis; Learning analytics","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":[],"consensus_categories":[],"category_scores_codex":[0.00308366,0.001756812,0.0009298995,0.006708676,0.001695874,0.003199468,0.002804163,0.001819278,0.05599656],"category_scores_gemma":[0.01464064,0.000394381,0.001416486,0.005364616,0.000642425,0.002070914,0.002757862,0.001923946,0.06041728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002633543,"about_ca_system_score_gemma":0.003590833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03358568,"about_ca_topic_score_gemma":0.05950001,"domain_scores_codex":[0.9953681,0.0007775641,0.0005661719,0.0008267522,0.001864499,0.000596952],"domain_scores_gemma":[0.9922433,0.001776046,0.000448331,0.002094053,0.002511198,0.0009270216],"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":[0.0001166011,0.00009286528,0.003534844,0.0002334163,0.00002636613,0.0003027671,0.00007055917,0.0003632367,0.0001611721,0.001005496,0.9778671,0.0162256],"study_design_scores_gemma":[0.0001336268,0.00004743029,0.007468653,0.0003089798,0.00003135238,0.0008901449,0.0005802971,0.001537818,0.0008217854,0.002759762,0.9853849,0.00003535267],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00671636,0.0007759192,0.002010935,0.002334495,0.0004565585,0.0004094489,0.9595687,0.002592699,0.02513496],"genre_scores_gemma":[0.00792677,0.0002834426,0.002910088,0.0004352722,0.0000821907,0.0004764713,0.9799432,0.00025938,0.007683164],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05599656,"threshold_uncertainty_score":0.1873272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03587576358120172,"score_gpt":0.3281984919511619,"score_spread":0.2923227283699602,"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."}}