{"id":"W2922179265","doi":"10.34989/san-2016-10","title":"The Case of Serial Disappointment","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Disappointment; Contrast (vision); Economics; Real gross domestic product; Econometrics; Monetary economics; Psychology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01431744,0.0007450901,0.00073491,0.002305858,0.003334703,0.005817315,0.001878483,0.005724514,0.04570297],"category_scores_gemma":[0.132825,0.0005538249,0.0008634079,0.0028015,0.005262837,0.009299687,0.003942305,0.008745744,0.007981222],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003931484,"about_ca_system_score_gemma":0.002342933,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005695766,"about_ca_topic_score_gemma":0.0054717,"domain_scores_codex":[0.9869999,0.004414947,0.001087035,0.002186955,0.003912372,0.001398706],"domain_scores_gemma":[0.917083,0.03099692,0.01653778,0.01950452,0.01331839,0.002559307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004717383,0.0001124533,0.04239848,0.0003253219,0.0003384618,0.01179167,0.01179872,0.00361983,0.0006519794,0.5536262,0.2403006,0.1345645],"study_design_scores_gemma":[0.0001021738,0.0001303592,0.01673652,0.0009689375,0.0001807298,0.008381305,0.00880825,0.008560904,0.00105342,0.4077482,0.5471089,0.0002201944],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08014496,0.004929275,0.05628024,0.1374962,0.004632748,0.0004427805,0.002249374,0.001386235,0.7124383],"genre_scores_gemma":[0.8732729,0.002267115,0.007229116,0.0326567,0.004654122,0.0003185595,0.000778586,0.0005285568,0.07829439],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9960685,"threshold_uncertainty_score":0.1528916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02405240166608901,"score_gpt":0.3282709663074266,"score_spread":0.3042185646413376,"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."}}