{"id":"W1521334384","doi":"","title":"NEW ESTIMATES OF MULTIFACTOR PRODUCTIVITY GROWTH FOR THE CANADIAN PROVINCES","year":2009,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multifactor productivity; Productivity; Economics; Capital (architecture); Total factor productivity; Labour economics; Econometrics; Geography; Macroeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003535241,0.001361161,0.0008631286,0.01670931,0.001995373,0.002676566,0.001724312,0.0003237651,0.003951222],"category_scores_gemma":[0.01142915,0.0004810704,0.001590046,0.0220405,0.0004790976,0.001297397,0.001961081,0.001403013,0.0007180572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06260142,"about_ca_system_score_gemma":0.07147924,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938126,"about_ca_topic_score_gemma":0.9930275,"domain_scores_codex":[0.9955286,0.000214082,0.0001953281,0.000392425,0.003010686,0.0006588597],"domain_scores_gemma":[0.9880083,0.0007858517,0.0008579163,0.0005055555,0.009413992,0.0004284457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00026158,0.00006594512,0.4935357,0.001105597,0.00102965,0.0003381138,0.003592188,0.07279379,0.0007182979,0.05540491,0.1342135,0.2369408],"study_design_scores_gemma":[0.00004488968,0.00002490055,0.6887193,0.000465376,0.0002414693,0.0001159486,0.001844803,0.03220839,0.001245953,0.004801579,0.2700765,0.0002108069],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2793209,0.01823802,0.06885915,0.003784839,0.0004505287,0.0007512904,0.4965427,0.001588654,0.130464],"genre_scores_gemma":[0.6959631,0.01248359,0.05203331,0.0002893423,0.0001490361,0.000636574,0.2071351,0.0004561793,0.0308538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06260142,"threshold_uncertainty_score":0.4542072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03523668969975538,"score_gpt":0.2514032085008483,"score_spread":0.2161665188010929,"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."}}