{"id":"W6990082383","doi":"","title":"A comparative study of Quebec &amp; Ontario's curricula in financial literacy education: presence, components and aims","year":2018,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Financial literacy; Curriculum; Scope (computer science); Qualitative research; Work (physics); Literacy; Data collection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001727808,0.0003298256,0.0004853446,0.002166582,0.0142328,0.002773622,0.00119642,0.0007963652,0.004420902],"category_scores_gemma":[0.003774314,0.0004042783,0.0003853315,0.00607089,0.002718144,0.001050158,0.001765632,0.001116785,0.0001777523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.126415,"about_ca_system_score_gemma":0.1358071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99597,"about_ca_topic_score_gemma":0.9989059,"domain_scores_codex":[0.9979953,0.0003676711,0.00008070919,0.0002158469,0.0004655873,0.0008750082],"domain_scores_gemma":[0.9949078,0.0008969185,0.0005625446,0.0000955462,0.001894815,0.00164235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004147841,0.0005246759,0.2854427,0.0009966065,0.0001064613,0.00308719,0.6214007,0.0003095402,0.003100036,0.00875629,0.01444263,0.06141831],"study_design_scores_gemma":[0.00002445045,0.0001729308,0.4301556,0.0005292384,0.00005485137,0.0002297188,0.5100716,0.0002664849,0.0003230611,0.0001597744,0.05793983,0.00007249847],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817464,0.001561975,0.0001305282,0.002087736,0.00003515626,0.0001326666,0.0006168436,0.00001110602,0.01367757],"genre_scores_gemma":[0.993391,0.0008180931,0.0002828383,0.0006182217,0.000007073907,0.00008395616,0.0002210539,0.000006400001,0.004571273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.126415,"threshold_uncertainty_score":0.9172091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02158792578353125,"score_gpt":0.2722992311360344,"score_spread":0.2507113053525031,"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."}}