{"id":"W7047548978","doi":"","title":"Frontier Firms, Productivity Dispersion and Aggregate Productivity Growth in Canada","year":2019,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Superconducting and THz Device Technology","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Slowdown; Productivity; Frontier; Dynamism; Dispersion (optics); Total factor productivity; Diffusion","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":[0.0008626936,0.0002900751,0.0004049643,0.003276542,0.002092561,0.002673145,0.0006189726,0.0003826173,0.002229476],"category_scores_gemma":[0.005098959,0.0001724531,0.0004016499,0.007606726,0.001041106,0.0007425188,0.001231983,0.00088108,0.0001846643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05279265,"about_ca_system_score_gemma":0.04412191,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965466,"about_ca_topic_score_gemma":0.9961632,"domain_scores_codex":[0.9990467,0.00003398621,0.00003425457,0.00009044382,0.0003300719,0.0004644822],"domain_scores_gemma":[0.9954997,0.0005041875,0.0007790643,0.0001206369,0.002289655,0.0008067173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002845484,0.00005661882,0.9074045,0.0001528622,0.0002102868,0.0005097745,0.004057384,0.01457719,0.0007072627,0.01676947,0.01160055,0.0436695],"study_design_scores_gemma":[0.0000100603,0.00001313979,0.9845124,0.00004991378,0.00003246224,0.00003485906,0.002122968,0.005029387,0.0002284623,0.001138184,0.006801309,0.00002678729],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702066,0.002493384,0.0005531437,0.002500316,0.00002895597,0.00002303669,0.007781575,0.00005526372,0.01635774],"genre_scores_gemma":[0.9946247,0.0008332428,0.0001348075,0.00004825168,0.000007587077,0.000004154767,0.001661659,0.000006560697,0.002679043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05279265,"threshold_uncertainty_score":0.3830393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01075058209905489,"score_gpt":0.2394651975577386,"score_spread":0.2287146154586837,"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."}}