{"id":"W1547181583","doi":"","title":"Innovation and Productivity: Summary Results for Canadian Manufacturing Establishments","year":2011,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Innovation, Science and Economic Development Canada","funders":"","keywords":"Lagging; Productivity; Human capital; Total factor productivity; Labour economics; Business; Economics; Survey data collection; Industrial organization; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00235152,0.0001232796,0.0002317076,0.001393912,0.000192552,0.00008557989,0.0001858947,0.0001230958,0.00003826215],"category_scores_gemma":[0.0006248413,0.0001587507,0.00002677687,0.0003393891,0.0001038588,0.0004002657,0.0000681022,0.0002598426,0.00001374666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004264197,"about_ca_system_score_gemma":0.0001142211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006904868,"about_ca_topic_score_gemma":0.01257644,"domain_scores_codex":[0.9982017,0.00001892729,0.0006465802,0.0005775069,0.00003131873,0.0005239744],"domain_scores_gemma":[0.9992163,0.00008219384,0.0001674175,0.0003535578,0.00007481959,0.0001056983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004973643,0.0002734232,0.2033508,0.0001922545,0.000119914,0.00001559574,0.002497547,0.00004360975,0.00007310438,0.4370797,0.002269089,0.3535876],"study_design_scores_gemma":[0.002932853,0.000256888,0.4134632,0.00005603739,0.000002365608,0.000008459099,0.0005429867,0.001403488,0.003485127,0.09193531,0.4852023,0.0007109544],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6758307,0.00004311329,0.00001224698,0.0007491102,0.0002512969,0.0006119507,0.0002433587,0.00001777426,0.3222404],"genre_scores_gemma":[0.994963,0.0002406176,0.001017735,0.0001935044,0.00008549781,0.0001120094,0.00008444575,0.0000278011,0.003275337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4829333,"threshold_uncertainty_score":0.9997082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07215597846513756,"score_gpt":0.2709952660027571,"score_spread":0.1988392875376195,"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."}}