{"id":"W2995819938","doi":"","title":"Does Business Confidence Matter for Investment","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Investment (military); Quarter (Canadian coin); Confidence interval; Business cycle; Economics; Return on investment; Investment strategy; Business; Monetary economics; Microeconomics; Macroeconomics; Statistics; Market liquidity; Geography","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":[0.002069289,0.0001993844,0.0003354445,0.001005476,0.000336555,0.00286821,0.0004261132,0.001054041,0.009003591],"category_scores_gemma":[0.03334298,0.0001799832,0.0003929366,0.001651082,0.0008010185,0.002288645,0.0007171588,0.001584564,0.001511096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008730515,"about_ca_system_score_gemma":0.0004946044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008465264,"about_ca_topic_score_gemma":0.006082582,"domain_scores_codex":[0.9992341,0.0001579254,0.00006389464,0.0001870125,0.0001501897,0.0002069424],"domain_scores_gemma":[0.9622055,0.01844587,0.01298368,0.001662155,0.001594858,0.003107932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001833341,0.0000642341,0.9640936,0.00004314242,0.0001056201,0.0001001879,0.0003045198,0.002554329,0.00009362082,0.006017329,0.004171605,0.02226845],"study_design_scores_gemma":[0.0000211007,0.0001218008,0.9664516,0.0001228891,0.00009023167,0.00008794858,0.0009627478,0.01023104,0.0003330787,0.01377504,0.007764982,0.00003763845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726566,0.001590404,0.001452062,0.006720267,0.0001231837,0.00001230023,0.00228964,0.00003220962,0.01512335],"genre_scores_gemma":[0.997835,0.0003313638,0.00006394149,0.0001361459,0.00007015785,0.000003759104,0.0008073999,0.000005566637,0.0007466872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009003591,"threshold_uncertainty_score":0.03011996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1765991711419302,"score_gpt":0.4490870420294705,"score_spread":0.2724878708875402,"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."}}