{"id":"W2399865994","doi":"","title":"ICT Investment, Spillover Effect, and Productivity in Canada: Provincial and Industry Analysis","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Productivity; Spillover effect; Investment (military); Information and Communications Technology; Business; Industrial organization; Economics; Economic growth; Political science; Microeconomics","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":[0.001032147,0.0003464694,0.0007818566,0.002368869,0.001972873,0.002148163,0.001143909,0.0005498918,0.007647086],"category_scores_gemma":[0.005243083,0.0002825912,0.001284829,0.007533581,0.0008988707,0.0006341475,0.001284294,0.001111889,0.0004880988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03205959,"about_ca_system_score_gemma":0.07182349,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9976072,"about_ca_topic_score_gemma":0.9980812,"domain_scores_codex":[0.9991296,0.00006835312,0.00004109524,0.00008961101,0.0002015104,0.0004698421],"domain_scores_gemma":[0.9931883,0.00128355,0.0007585888,0.0002381249,0.003066201,0.00146527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003494807,0.00008905541,0.9615002,0.00009016036,0.0002633162,0.0002829689,0.0008099441,0.006492069,0.0002326578,0.005693975,0.008152167,0.01604406],"study_design_scores_gemma":[0.0000561463,0.0000556852,0.9739387,0.0001041473,0.0004138289,0.0001015205,0.003031785,0.01322519,0.0003461052,0.001123391,0.007561424,0.00004210678],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742745,0.00264014,0.0006156265,0.001757246,0.00003023231,0.00004841879,0.01101777,0.00009236726,0.009523735],"genre_scores_gemma":[0.9881625,0.001122745,0.0002691961,0.0000736736,0.00001167973,0.00001203386,0.003120237,0.00001857821,0.007209473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03205959,"threshold_uncertainty_score":0.2326097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007209355924752219,"score_gpt":0.1785253263321228,"score_spread":0.1713159704073706,"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."}}