{"id":"W1887496362","doi":"10.2139/ssrn.2257922","title":"A Sectoral Analysis of Ontario's Weak Productivity Growth","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Economic geography; Geography; Agricultural economics; Macroeconomics","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":[0.0007304567,0.0001310482,0.0002052682,0.002072859,0.002545836,0.002221807,0.0005825582,0.000413076,0.005435059],"category_scores_gemma":[0.003780173,0.0001610966,0.0003259419,0.006229172,0.0009171894,0.0005914121,0.0009505679,0.0004851442,0.0002448675],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06490511,"about_ca_system_score_gemma":0.05840198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9881174,"about_ca_topic_score_gemma":0.9939668,"domain_scores_codex":[0.9992338,0.00005760586,0.00002465317,0.00004678296,0.0002913353,0.000345705],"domain_scores_gemma":[0.9963422,0.0004608447,0.0005361682,0.0001020117,0.00188485,0.0006739424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006907562,0.0001453012,0.7951175,0.0003197948,0.0001475054,0.001558971,0.01332057,0.01569673,0.00231766,0.08863614,0.03560694,0.04644217],"study_design_scores_gemma":[0.0000235623,0.00006524461,0.9446706,0.00005039011,0.00005653519,0.00006172065,0.01474764,0.007065821,0.0002948596,0.002933035,0.03000711,0.00002338785],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9319419,0.0004890258,0.0003660665,0.005254701,0.00001766102,0.00006609705,0.005039906,0.00003926412,0.05678536],"genre_scores_gemma":[0.9903467,0.0002777575,0.0001300535,0.00007989322,0.000007148415,0.00001044134,0.0006583761,0.000006619158,0.008482953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9350949,"threshold_uncertainty_score":0.4709218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008431701957814505,"score_gpt":0.2448869549996756,"score_spread":0.236455253041861,"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."}}