{"id":"W1523237629","doi":"","title":"Knowledge-Based Labor Productivity Improvements: Canada Case Study","year":2008,"lang":"en","type":"article","venue":"University of Zagreb University Computing Centre (SRCE)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Aboriginal Affairs Northern Dev Canada","funders":"","keywords":"Openness to experience; Productivity; Economics; Stock (firearms); Labour economics; Multifactor productivity; Human capital; Total factor productivity; Macroeconomics; Economic growth; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006637773,0.0003888002,0.0003373352,0.002118194,0.003852243,0.001153195,0.00104437,0.0008543293,0.002773712],"category_scores_gemma":[0.00227766,0.0001229483,0.0004228933,0.008359533,0.0009289653,0.0003704485,0.0007425256,0.0007818796,0.0002454207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03989365,"about_ca_system_score_gemma":0.03874738,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9921896,"about_ca_topic_score_gemma":0.9945034,"domain_scores_codex":[0.9990822,0.0001075813,0.0000239039,0.000069377,0.000288146,0.0004287279],"domain_scores_gemma":[0.9982294,0.0003590164,0.0001435278,0.00008318624,0.0007493584,0.0004355365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001357787,0.00187882,0.5545323,0.0009164388,0.0002820749,0.0173942,0.0136468,0.06583372,0.002478842,0.05444162,0.06222598,0.2250114],"study_design_scores_gemma":[0.0004038173,0.0005781793,0.7483857,0.0002925364,0.0002636788,0.002621582,0.04472802,0.04596959,0.002843861,0.004156174,0.1495248,0.0002319537],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9538637,0.001608604,0.001079354,0.00286296,0.00002867459,0.0001935347,0.005595629,0.00007033067,0.03469715],"genre_scores_gemma":[0.9866886,0.001680979,0.001213866,0.0002034311,0.00001425241,0.00004258654,0.001333587,0.00001155213,0.008811215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03989365,"threshold_uncertainty_score":0.28945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165977011201592,"score_gpt":0.1653480272403085,"score_spread":0.1487503261201493,"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."}}