{"id":"W2988541867","doi":"","title":"When Finance Meets Stories","year":2018,"lang":"en","type":"article","venue":"The Journal for Research and Practice in College Teaching","topic":"Economic, financial, and policy analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Syllabus; Context (archaeology); Subject (documents); Curriculum; Course (navigation); Finance; Character (mathematics); Mathematics education; Computer science; Sociology; Psychology; Pedagogy; Business; Engineering; History; Mathematics; Library science","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":[0.003534412,0.00105557,0.0005104097,0.001973346,0.01399802,0.02212285,0.001558537,0.007434155,0.07326159],"category_scores_gemma":[0.03651155,0.0005998291,0.0005172084,0.001564252,0.008320116,0.02578121,0.01412763,0.007947229,0.01863615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004614003,"about_ca_system_score_gemma":0.002306568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002306494,"about_ca_topic_score_gemma":0.003729275,"domain_scores_codex":[0.9900993,0.004706306,0.0002492912,0.000466549,0.002667262,0.001811412],"domain_scores_gemma":[0.9884557,0.004563359,0.0009865131,0.0006310747,0.001508603,0.003854808],"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":[0.00006238859,0.00005028721,0.0009233934,0.0001375459,0.00001166875,0.002975603,0.07426004,0.00007333541,0.0002595485,0.1636171,0.7177173,0.03991177],"study_design_scores_gemma":[0.000004086226,0.000008042961,0.0001740863,0.0001609363,0.000002188731,0.0007229842,0.03497612,0.00003258499,0.00008245344,0.01562607,0.9482012,0.000009246892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01961825,0.008920904,0.006290626,0.2904055,0.01659276,0.000117288,0.0006308929,0.0009078804,0.656516],"genre_scores_gemma":[0.4693292,0.01031279,0.005600251,0.08638573,0.008656118,0.0003501424,0.001336827,0.001845643,0.4161832],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07326159,"threshold_uncertainty_score":0.2450844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.200829501965534,"score_gpt":0.4319549147856779,"score_spread":0.2311254128201439,"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."}}