{"id":"W7096577063","doi":"","title":"STUDY OF LIVING STANDARDS THE CANADA-US ICT INVESTMENT GAP:","year":2008,"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":"Information and Communications Technology; Investment (military); Productivity; Standard of living; Yield (engineering)","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":[0.0009020873,0.0001738129,0.0003114616,0.003347548,0.001985968,0.002311715,0.0007668089,0.0003038116,0.003510999],"category_scores_gemma":[0.004436047,0.00008782066,0.0003427049,0.01132395,0.000679452,0.0008499646,0.001085508,0.0009606392,0.0003017701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02784088,"about_ca_system_score_gemma":0.02718693,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9768835,"about_ca_topic_score_gemma":0.9787324,"domain_scores_codex":[0.9987778,0.00005096812,0.00003716071,0.00008639695,0.0006400109,0.0004076526],"domain_scores_gemma":[0.9954119,0.0002628116,0.0006813974,0.00007966537,0.002789664,0.0007746284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001183956,0.000131257,0.890141,0.0001147198,0.00008631984,0.0002509605,0.004771688,0.0007441725,0.00008808349,0.02119634,0.02157118,0.06078589],"study_design_scores_gemma":[0.000003634498,0.00001983153,0.9758707,0.00007330294,0.00001506395,0.00004358016,0.004716509,0.0004093165,0.0001077834,0.000360988,0.01836867,0.00001066573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8963178,0.005642551,0.0003889407,0.007079102,0.00008338496,0.00005664407,0.02487801,0.00004314102,0.06551044],"genre_scores_gemma":[0.9869834,0.001151777,0.0001639455,0.0002408591,0.00002342226,0.0000152589,0.00542976,0.00001312357,0.005978389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02784088,"threshold_uncertainty_score":0.2020006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04794632847517839,"score_gpt":0.2117157245790642,"score_spread":0.1637693961038858,"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."}}