{"id":"W2329851467","doi":"","title":"R&D Spending and M&E Investment in Canadian Manufacturing Industries","year":2009,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Investment (military); Business; Economics; Political science; Politics","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":[0.0009452894,0.0003755338,0.0004423694,0.003261868,0.001822446,0.002618218,0.001046773,0.001170277,0.007387319],"category_scores_gemma":[0.00599369,0.0003506134,0.0009686056,0.006394562,0.0008645621,0.0009316577,0.0009100444,0.001484171,0.0005736311],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06372393,"about_ca_system_score_gemma":0.04784573,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9967973,"about_ca_topic_score_gemma":0.9979262,"domain_scores_codex":[0.9991441,0.00005020194,0.000040552,0.00007390109,0.0002135806,0.0004777868],"domain_scores_gemma":[0.9942972,0.001031884,0.001121845,0.0001263025,0.002037611,0.001385081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003861606,0.000110646,0.9499325,0.0001084821,0.0001675399,0.0003034665,0.0008060583,0.007765821,0.0002950257,0.008661074,0.01459278,0.01687044],"study_design_scores_gemma":[0.00002034067,0.00001679723,0.9867192,0.00007230159,0.0001183654,0.00005420694,0.001399996,0.003641868,0.0002034697,0.0006710165,0.007055436,0.00002699094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642938,0.005219927,0.0001660303,0.006289805,0.00005105661,0.00001922212,0.009675145,0.00005428131,0.01423066],"genre_scores_gemma":[0.9869456,0.002159909,0.00009516939,0.000227406,0.00003011368,0.000005808427,0.002638046,0.00001046515,0.007887548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9362761,"threshold_uncertainty_score":0.4623516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03700393721954812,"score_gpt":0.2022492804680041,"score_spread":0.1652453432484559,"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."}}