{"id":"W7096592331","doi":"","title":"Economic Analysis (EA) Research Paper Series The Canadian Manufacturing Sector: Adapting to Challenges","year":2009,"lang":"en","type":"article","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Economic analysis; Series (stratigraphy); Time series; Economic forecasting; Productivity; Economic data","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":[0.003912898,0.0004679434,0.0007012696,0.002494453,0.008940169,0.01075721,0.001437642,0.003431989,0.01302897],"category_scores_gemma":[0.01188632,0.000310093,0.0006183002,0.006224097,0.003145054,0.0025682,0.0019583,0.003276425,0.0006003335],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1436232,"about_ca_system_score_gemma":0.3008953,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941275,"about_ca_topic_score_gemma":0.9968278,"domain_scores_codex":[0.9951776,0.0005962245,0.00008928424,0.0002844893,0.002081877,0.001770362],"domain_scores_gemma":[0.99232,0.001117707,0.0002594791,0.0002689991,0.004763253,0.001270545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00008092068,0.0000445255,0.01248599,0.0002465296,0.00006906096,0.0002937468,0.002465248,0.004951694,0.0004217743,0.4638163,0.4708175,0.04430667],"study_design_scores_gemma":[0.00003075671,0.00002098202,0.04453602,0.0004588277,0.000065199,0.00006061316,0.01354629,0.004989846,0.0004139922,0.05647555,0.8792761,0.0001258004],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0480454,0.0150725,0.002393974,0.6461082,0.003163276,0.0001214507,0.004964981,0.000117898,0.2800123],"genre_scores_gemma":[0.7766936,0.03197603,0.006531717,0.02916368,0.001366866,0.0001311013,0.002194946,0.0001940577,0.1517479],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1436232,"threshold_uncertainty_score":0.9932758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09558466583570054,"score_gpt":0.3531050512580045,"score_spread":0.2575203854223039,"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."}}