{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006193733,0.0002528514,0.0005387366,0.0004931751,0.000439225,0.00112672,0.003241388,0.0003574833,0.0002487079],"category_scores_gemma":[0.004281998,0.0001682253,0.0001810093,0.0001281558,0.0005461074,0.0001499602,0.002363414,0.0007535589,0.00008848865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003497509,"about_ca_system_score_gemma":0.000603341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001900424,"about_ca_topic_score_gemma":0.0003434071,"domain_scores_codex":[0.9964675,0.0001433951,0.0009064524,0.001333241,0.0005454722,0.0006039807],"domain_scores_gemma":[0.9934598,0.001962072,0.0005433804,0.003140046,0.0007304851,0.0001641803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000266379,0.0005292607,0.05167606,0.0004906716,0.0001287772,0.00002677815,0.0008858223,0.005161647,0.0003879268,0.06454322,0.0543417,0.8215618],"study_design_scores_gemma":[0.0002507581,0.00002921716,0.0182316,0.0002686739,0.00000540989,0.000004121423,0.0001806103,0.00960825,0.000352208,0.6064177,0.3642534,0.0003980072],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3294008,0.0001769485,0.003871671,0.04268668,0.003821947,0.01186633,0.00154491,0.0003071326,0.6063235],"genre_scores_gemma":[0.9196886,0.002190039,0.0288756,0.0009105925,0.0007097636,0.005191029,0.0001020647,0.0001146921,0.04221764],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8211638,"threshold_uncertainty_score":0.9999102,"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."}}