{"id":"W4413341411","doi":"10.19173/irrodl.v26i3.9038","title":"Editorial – Volume 26, Issue 3","year":2025,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Volume (thermodynamics); Computer science; Data science; Physics; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006117602,0.00007296707,0.0001800551,0.0001489261,0.0002242821,0.0005043438,0.002507532,0.00003631691,0.0002279947],"category_scores_gemma":[0.003517471,0.00005447767,0.00003376195,0.0008999739,0.0001005697,0.0004178115,0.001737642,0.0007536786,0.00009209147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009192668,"about_ca_system_score_gemma":0.0003506842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004399721,"about_ca_topic_score_gemma":0.000007579421,"domain_scores_codex":[0.9980003,0.0006097227,0.0003093775,0.0002471112,0.0006264506,0.0002070134],"domain_scores_gemma":[0.9984593,0.0006357243,0.00009680034,0.0002445356,0.000510834,0.00005281264],"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":[0.00004136663,0.000125789,0.01484401,0.0006991563,0.00004038962,0.000003461387,0.0002667,0.000149295,0.00005059741,0.1715316,0.755594,0.05665368],"study_design_scores_gemma":[0.000278392,0.00003408143,0.002539802,0.002889914,0.000002143668,0.000002087754,0.001093052,0.002962485,0.00002503168,0.001653347,0.9884633,0.00005631252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005003135,0.02955192,0.01497249,0.4000881,0.0478266,0.003070557,0.00002290258,0.0001757715,0.4992885],"genre_scores_gemma":[0.8904423,0.06225058,0.002185828,0.002042928,0.008077805,0.0003078797,0.0001544434,0.00002518439,0.0345131],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8854391,"threshold_uncertainty_score":0.4863399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04376327334757852,"score_gpt":0.4367493708236151,"score_spread":0.3929860974760366,"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."}}