{"id":"W4411414140","doi":"10.3224/hibifo.v14i2.02","title":"Consumer Education Trend Analysis: Implications for Home Economics","year":2025,"lang":"en","type":"article","venue":"HiBiFo – Haushalt in Bildung & Forschung","topic":"Education, Sociology, Communication Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Saint Vincent University","funders":"","keywords":"Family and consumer science; Consumer economics; Consumer education; Economics education; Economics; Consumer behaviour; Marketing; Economic analysis; Sociology; Positive economics; Advertising; Public economics; Psychology; Higher education; Business; Economic growth; Classical economics; Mathematics education","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":[0.00167931,0.0001773965,0.0003959435,0.0007712416,0.00118511,0.0001028603,0.0005911821,0.0002016653,0.00004633749],"category_scores_gemma":[0.0006445238,0.0002035445,0.000217539,0.001733611,0.0005288362,0.0002862181,0.00009440485,0.0001794581,0.00001257088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005469397,"about_ca_system_score_gemma":0.001023891,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001613699,"about_ca_topic_score_gemma":0.02951376,"domain_scores_codex":[0.9980826,0.0003513366,0.0006138686,0.0004502206,0.00007580764,0.0004261154],"domain_scores_gemma":[0.997018,0.001579987,0.0002708062,0.0007511539,0.0002905006,0.00008951355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007417763,0.0002218721,0.5340286,0.0000194807,0.000308597,1.250385e-8,0.007355538,0.00003989761,0.00001854073,0.4429287,0.007868312,0.007203048],"study_design_scores_gemma":[0.0004937169,0.00001654501,0.5004624,0.00005018764,0.0005496884,2.943834e-7,0.03522833,0.00008958416,0.00002142985,0.0606722,0.4020316,0.0003840784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7952394,0.01443841,0.002497345,0.1076963,0.002960047,0.003052436,0.0002053167,0.0003559124,0.07355476],"genre_scores_gemma":[0.9854017,0.003884905,0.004177054,0.0008802161,0.0001955939,0.001382195,0.0002512037,0.00001636021,0.003810793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3941633,"threshold_uncertainty_score":0.9881951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07692889594745671,"score_gpt":0.4523841183501606,"score_spread":0.3754552224027039,"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."}}