{"id":"W4412072924","doi":"10.36510/learnland.vi29.1137","title":"Editorial","year":2025,"lang":"en","type":"editorial","venue":"LEARNing Landscapes","topic":"Global Educational Policies and Reforms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"American Educational Research Association","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007780761,0.003902821,0.003935501,0.004923676,0.004784118,0.01019957,0.003899217,0.0126485,0.04979253],"category_scores_gemma":[0.04134271,0.001260304,0.002745125,0.001838983,0.002368461,0.004919759,0.001729684,0.01469615,0.04362876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003434906,"about_ca_system_score_gemma":0.005225636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002335903,"about_ca_topic_score_gemma":0.005446502,"domain_scores_codex":[0.9921429,0.001107306,0.0007643786,0.0009473509,0.004529295,0.0005087474],"domain_scores_gemma":[0.9629874,0.01029377,0.001941005,0.001378859,0.01855919,0.004839753],"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":[0.00001222991,0.000005811131,0.000008585936,0.00006135861,0.000004728897,0.00004639119,0.000004745974,0.000008405877,0.00001587894,0.0001025353,0.9982061,0.001523175],"study_design_scores_gemma":[0.00007348733,0.00002415943,0.0001833272,0.0003974207,0.00002702481,0.0001470701,0.00004266465,0.0001095995,0.00008305236,0.0009658429,0.9979306,0.00001565757],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002705901,0.001244006,0.00007505606,0.02212426,0.9727624,0.00004534645,0.0001117829,0.00009017805,0.003519851],"genre_scores_gemma":[0.00045479,0.001766214,0.0001107252,0.01794048,0.9579242,0.00004710058,0.0001061335,0.00008115116,0.02156929],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9502075,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00480255781021127,"score_gpt":0.30001229911182,"score_spread":0.2952097413016087,"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."}}