{"id":"W4413616375","doi":"10.37119/ojs2025.v30i2.921","title":"Editorial","year":2025,"lang":"en","type":"article","venue":"in education","topic":"Adult and Continuing Education Topics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001664152,0.00001727821,0.00002324562,0.00005894728,0.00006701284,0.0000247633,0.00006550084,0.00004130624,0.0000464002],"category_scores_gemma":[0.0002791728,0.00001971218,0.000007908606,0.0002175709,0.0000230717,0.00006291506,0.000003544746,0.00004083982,0.00002123887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000962066,"about_ca_system_score_gemma":0.0009839286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002387119,"about_ca_topic_score_gemma":0.001933829,"domain_scores_codex":[0.9997321,0.00003418125,0.00005611105,0.00005276657,0.00006452058,0.00006031884],"domain_scores_gemma":[0.9998272,0.00003319174,0.00001378037,0.00005032268,0.0000622171,0.00001326961],"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":[0.000001225213,0.00007237074,0.02417567,0.000001832305,5.903344e-7,5.217405e-9,0.01088873,2.519273e-7,0.000005814886,0.1520965,0.7084985,0.1042584],"study_design_scores_gemma":[0.00003023363,8.247415e-7,0.01120285,0.00001122634,8.854788e-7,3.394764e-9,0.007933035,5.227587e-7,0.000008213157,0.01761148,0.9631816,0.00001919091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.1507168,0.0001501548,0.00005101067,0.01325321,0.4346324,0.0001294008,1.405134e-7,0.00003691182,0.4010301],"genre_scores_gemma":[0.8833751,0.00004213794,0.0001878286,0.0003526916,0.07029007,0.00003936185,0.000002743138,0.00000158132,0.0457085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7326583,"threshold_uncertainty_score":0.3608626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007118898611134061,"score_gpt":0.3572287974883119,"score_spread":0.3501098988771779,"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."}}