{"id":"W4402162235","doi":"10.1080/10528008.2024.2379626","title":"Editorial: Equipping Students for Success","year":2024,"lang":"en","type":"editorial","venue":"Marketing Education Review","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Psychology; Mathematics education; Marketing; Computer science; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01029313,0.00520117,0.005278253,0.004176497,0.005144914,0.009234723,0.005295044,0.02572122,0.02451924],"category_scores_gemma":[0.03756225,0.001600071,0.003117316,0.002269733,0.003351658,0.005976139,0.001891766,0.02634626,0.02734771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00413343,"about_ca_system_score_gemma":0.00708215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003672363,"about_ca_topic_score_gemma":0.0114091,"domain_scores_codex":[0.991434,0.001512375,0.0008347523,0.0009575919,0.004713172,0.0005481119],"domain_scores_gemma":[0.973271,0.01065867,0.001355584,0.0007577951,0.01000802,0.00394895],"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":[0.00001434135,0.00000875128,0.000009142819,0.0001077114,0.000007250521,0.00003487975,0.00000485122,0.00001016361,0.00001785733,0.0001093485,0.9976465,0.002029066],"study_design_scores_gemma":[0.0001061395,0.00003487655,0.0002543869,0.0005918072,0.00004515523,0.0001447523,0.00003581555,0.0001236719,0.00007694477,0.0008150369,0.997749,0.00002236806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002704532,0.003666135,0.00007882899,0.04272176,0.9508467,0.00005323602,0.00008992506,0.00008825061,0.002428102],"genre_scores_gemma":[0.000411479,0.004076466,0.0001147161,0.05027077,0.9300749,0.0000799214,0.00005847928,0.00005603056,0.01485724],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02572122,"threshold_uncertainty_score":0.08202499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02909293941173165,"score_gpt":0.4669138205866653,"score_spread":0.4378208811749336,"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."}}