{"id":"W2569034917","doi":"10.1080/00094056.2017.1275239","title":"Teaching Financial Literacy With Max and Ruby","year":2017,"lang":"en","type":"article","venue":"Childhood Education","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University","funders":"","keywords":"Financial literacy; Literacy; Psychology; Mathematics education; Pedagogy; Finance; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001171547,0.0007891129,0.0002944766,0.0008876646,0.002013566,0.002584728,0.0005744967,0.0008507615,0.01855674],"category_scores_gemma":[0.002921302,0.0004272704,0.0003167998,0.0003639606,0.002210438,0.004234972,0.002683605,0.00342704,0.005688762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092694,"about_ca_system_score_gemma":0.001628162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001091432,"about_ca_topic_score_gemma":0.003477188,"domain_scores_codex":[0.9991562,0.0003915321,0.00003655397,0.0001002015,0.0002245652,0.00009091348],"domain_scores_gemma":[0.9987588,0.0006500264,0.00009483709,0.00008631952,0.0001298014,0.0002801419],"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":[0.00007500529,0.0002228285,0.001170645,0.000303571,0.00000874545,0.000606883,0.02111178,0.00061972,0.004043871,0.1434437,0.5231492,0.305244],"study_design_scores_gemma":[0.000007283036,0.00005471427,0.0006576996,0.000223426,0.000004426417,0.0007038959,0.003092824,0.0002875741,0.001482703,0.0196918,0.9737666,0.00002698425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0322049,0.01985747,0.0653054,0.0932831,0.003778965,0.0002408128,0.0003189908,0.003748067,0.7812622],"genre_scores_gemma":[0.2145843,0.01698395,0.1085015,0.02587158,0.00158871,0.0005915714,0.0001994822,0.001678675,0.6300003],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01855674,"threshold_uncertainty_score":0.06207848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006019479368609535,"score_gpt":0.2360408950310121,"score_spread":0.2300214156624025,"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."}}