{"id":"W4391360552","doi":"10.1177/02734753241226669","title":"RESCUER: Combining Passive and Active Learning Techniques to Teach Food Sustainability","year":2024,"lang":"en","type":"article","venue":"Journal of Marketing Education","topic":"Management and Marketing Education","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Sustainability; Active learning (machine learning); Business; Mathematics education; Computer science; Knowledge management; Marketing; Environmental economics; Process management; Psychology; Artificial intelligence; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005215537,0.0001428842,0.0001720457,0.0007654546,0.0001989611,0.0005994831,0.0001475896,0.00005577247,0.00006399951],"category_scores_gemma":[0.006371479,0.0001324315,0.00006761103,0.0005166858,0.00002580164,0.001067799,0.000119466,0.0003645139,0.000006631883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002244492,"about_ca_system_score_gemma":0.0002323431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004054342,"about_ca_topic_score_gemma":0.000006513926,"domain_scores_codex":[0.9987994,0.0001321681,0.0003894972,0.0002272007,0.0002556589,0.0001961017],"domain_scores_gemma":[0.9983321,0.0004867562,0.0003607848,0.0001102087,0.0006813826,0.00002872471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004490184,0.0002116562,0.01228353,0.001910518,0.00009233568,0.00000420186,0.001158153,0.0000102591,0.0008649837,0.004421073,0.09526426,0.88333],"study_design_scores_gemma":[0.0001892313,0.0001285329,0.1183769,0.00160262,0.0001942857,0.00002069849,0.01820134,0.0002587653,0.0002604583,0.006307369,0.8541072,0.0003526245],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9589456,0.0002406971,0.0004486822,0.01574509,0.001666456,0.000430285,2.882243e-7,0.0001520064,0.02237094],"genre_scores_gemma":[0.9946809,0.00003415586,0.001418782,0.0005078546,0.002001644,0.00002654191,0.000006161357,0.00002788989,0.001296078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8829774,"threshold_uncertainty_score":0.7627715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006588881664058507,"score_gpt":0.2635812883489314,"score_spread":0.2569924066848728,"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."}}