{"id":"W4321437985","doi":"10.19173/irrodl.v24i1.7174","title":"Editorial - Volume 24, Issue 1","year":2023,"lang":"en","type":"editorial","venue":"The International Review of Research in Open and Distributed Learning","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Volume (thermodynamics); Computer science; Data 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009466374,0.005296343,0.006296274,0.00724079,0.004781526,0.01482495,0.005743369,0.01615947,0.04666021],"category_scores_gemma":[0.02996439,0.001459135,0.003778305,0.003151626,0.002896669,0.005443208,0.002798653,0.01690424,0.03625529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004083384,"about_ca_system_score_gemma":0.004814173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002103547,"about_ca_topic_score_gemma":0.006787376,"domain_scores_codex":[0.99141,0.001216909,0.0008156923,0.0009259167,0.004978964,0.0006526007],"domain_scores_gemma":[0.9695446,0.008937261,0.002458955,0.0009925237,0.01242279,0.005643924],"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":[0.00003341269,0.0000197708,0.00001894027,0.0001517287,0.00001514294,0.00003633102,0.000004529356,0.00001661843,0.00004177394,0.0001122121,0.9959408,0.003608737],"study_design_scores_gemma":[0.0001335689,0.0000391009,0.0003308766,0.0005878114,0.00007069091,0.0001281703,0.0000385641,0.0001614235,0.0001075049,0.001132434,0.997248,0.00002196572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002188068,0.003147603,0.00006634387,0.01454114,0.9804822,0.0000264906,0.00005016229,0.00004996811,0.001614131],"genre_scores_gemma":[0.0002491784,0.003122131,0.00008672156,0.01268909,0.9716006,0.00003559262,0.00006586049,0.00005478951,0.01209608],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04666021,"threshold_uncertainty_score":0.156094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0976691402302459,"score_gpt":0.3842653449832701,"score_spread":0.2865962047530242,"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."}}