{"id":"W4200044424","doi":"10.37119/ojs2021.v27i1.562","title":"Editorial","year":2021,"lang":"en","type":"editorial","venue":"in education","topic":"Digital Education and Society","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Political science; Library science; Engineering ethics; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004659055,0.003564383,0.003757996,0.004737644,0.003748063,0.01005122,0.002612036,0.01083162,0.07820769],"category_scores_gemma":[0.0215173,0.0009906763,0.002160054,0.001568559,0.001494311,0.00361707,0.001841788,0.009974826,0.0557272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002388418,"about_ca_system_score_gemma":0.003654844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001664347,"about_ca_topic_score_gemma":0.004516895,"domain_scores_codex":[0.9948193,0.000823389,0.0004383241,0.0005905544,0.002868371,0.0004599979],"domain_scores_gemma":[0.9778672,0.005250466,0.001593512,0.0006867561,0.01043333,0.004168645],"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":[0.00001764393,0.000008257009,0.000009636891,0.00006007614,0.000003967949,0.00004707653,0.000004913989,0.00000655921,0.00002026508,0.00008614477,0.9973852,0.002350281],"study_design_scores_gemma":[0.00006031178,0.00002560575,0.0001902374,0.0002601299,0.00002072524,0.0001182413,0.00003473506,0.00006066632,0.00005276001,0.0005366175,0.998628,0.00001197912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003839763,0.002070682,0.00007414292,0.02227455,0.9689448,0.00003752475,0.0001236965,0.00007426259,0.006361898],"genre_scores_gemma":[0.0005554227,0.002422312,0.0001262587,0.02046195,0.9251571,0.00004899513,0.0001623622,0.0001215474,0.05094398],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9217923,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006332266904497905,"score_gpt":0.2950568187572585,"score_spread":0.2887245518527606,"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."}}