{"id":"W2169953956","doi":"10.2139/ssrn.1507777","title":"Provincial Labour Productivity Growth, 1997 to 2005","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Productivity; Economics; Labour economics; Agricultural economics; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007449651,0.0004165553,0.0004756475,0.002389702,0.0009241724,0.001380498,0.0007890937,0.0003757607,0.003605417],"category_scores_gemma":[0.005076255,0.000229533,0.0004683377,0.007121877,0.0002960683,0.0006748619,0.001037071,0.0009047251,0.001379395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01708723,"about_ca_system_score_gemma":0.02486918,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9114594,"about_ca_topic_score_gemma":0.952747,"domain_scores_codex":[0.9991007,0.00003978668,0.00006983325,0.00009558463,0.000319628,0.0003744907],"domain_scores_gemma":[0.9974058,0.0001361374,0.0005111655,0.00007552357,0.001531343,0.0003400279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001661881,0.0001328181,0.7316722,0.001345988,0.000331035,0.0004291743,0.002160219,0.0055544,0.0007860224,0.003100791,0.1674505,0.085375],"study_design_scores_gemma":[0.00004261914,0.00006600139,0.9268963,0.0001087449,0.00007778607,0.0001132353,0.001200201,0.001637191,0.00056994,0.0001332069,0.06914373,0.0000111184],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6840765,0.005401116,0.001013592,0.005926331,0.000425902,0.000077759,0.2712938,0.0006046431,0.03118021],"genre_scores_gemma":[0.8559263,0.003177652,0.0008114391,0.0003150094,0.00009380816,0.00007786528,0.1019378,0.00006445785,0.03759559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9114594,"threshold_uncertainty_score":0.1781241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030862146216427,"score_gpt":0.2918751637574761,"score_spread":0.2815665422953118,"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."}}