{"id":"W7101135111","doi":"","title":"Treating Intangible Inputs as Investment Goods: The Impact on Canadian GDP Prepared by Nazim Belhocine1","year":2009,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Productivity; Capital (architecture); Capital good; Gross private domestic investment; Set (abstract data type); Capital investment","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":[0.001947993,0.0009034438,0.0009847264,0.003374198,0.002746948,0.005319121,0.001301309,0.001067394,0.007472078],"category_scores_gemma":[0.008671233,0.0004183751,0.0009668483,0.009932728,0.001210646,0.001434668,0.00146289,0.00210081,0.0009712984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0644488,"about_ca_system_score_gemma":0.08101948,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993588,"about_ca_topic_score_gemma":0.9927384,"domain_scores_codex":[0.9986437,0.00009814054,0.0000383773,0.0001292792,0.0007039692,0.0003866154],"domain_scores_gemma":[0.9960374,0.0006406243,0.0002536907,0.0001318678,0.002558775,0.0003775697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003402799,0.00008106467,0.1010387,0.0007612242,0.0003055113,0.0005533563,0.00268552,0.01825855,0.0008740572,0.1573849,0.5922217,0.1254953],"study_design_scores_gemma":[0.0001095114,0.0000724039,0.4115485,0.00146442,0.0005062644,0.0001231038,0.01010538,0.02241753,0.002868491,0.03412487,0.5163289,0.000330577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3509838,0.1002715,0.00299161,0.270192,0.003348775,0.0002136275,0.07104775,0.0002812017,0.2006698],"genre_scores_gemma":[0.8110895,0.09755297,0.003302707,0.002688181,0.0007752807,0.00008030416,0.01593413,0.0002339947,0.06834301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0644488,"threshold_uncertainty_score":0.467611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01773924325318729,"score_gpt":0.2308018189835621,"score_spread":0.2130625757303748,"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."}}