{"id":"W4245395317","doi":"10.37119/ojs2019.v25i1.434","title":"Editorial","year":2019,"lang":"en","type":"editorial","venue":"in education","topic":"Higher Education Practises and Engagement","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Library science; Engineering ethics; Political science; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.006287191,0.003987687,0.004051734,0.006017889,0.004547734,0.01366293,0.002980562,0.01380822,0.05830431],"category_scores_gemma":[0.03016296,0.001108772,0.002310957,0.002121701,0.002297572,0.002785186,0.001760535,0.01123484,0.03367146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005564284,"about_ca_system_score_gemma":0.01043341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008230822,"about_ca_topic_score_gemma":0.02576526,"domain_scores_codex":[0.9935435,0.000973361,0.0005713992,0.0007659572,0.003487246,0.0006586072],"domain_scores_gemma":[0.9681634,0.006224276,0.002000517,0.0008802096,0.01578294,0.006948682],"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":[0.00001638987,0.000005758838,0.0000106992,0.00008370262,0.000004819823,0.00004678887,0.000005378937,0.000005666571,0.00001110762,0.00007023921,0.9981465,0.001592894],"study_design_scores_gemma":[0.0001090995,0.00002405191,0.0002665107,0.0004708972,0.00003686886,0.000130996,0.00005346072,0.0000478889,0.00003422707,0.0005216216,0.9982924,0.00001211274],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002705323,0.002933887,0.00003670194,0.02012371,0.972305,0.0000371739,0.0001181293,0.00005043563,0.004367969],"genre_scores_gemma":[0.0005394844,0.003559859,0.00009329939,0.01564886,0.9376243,0.00005194161,0.0001417769,0.00007333077,0.04226713],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9416957,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01912947754969542,"score_gpt":0.3872938569360831,"score_spread":0.3681643793863877,"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."}}