{"id":"W7097546819","doi":"","title":"..Research paper........................................................................ The Canadian Productivity Review The Impact of Public Infrastructure on Canadian Multifactor Productivity Estimates","year":2015,"lang":"en","type":"article","venue":"","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Public infrastructure; Product (mathematics); Multifactor productivity; Public sector; Critical infrastructure","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":[0.01018622,0.0007706342,0.0009519614,0.005011727,0.00321574,0.008368527,0.001652725,0.001297284,0.2011605],"category_scores_gemma":[0.07792649,0.000498049,0.0008445615,0.01331589,0.00104639,0.002825143,0.001623874,0.001798039,0.07796275],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03088564,"about_ca_system_score_gemma":0.08935611,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7203379,"about_ca_topic_score_gemma":0.6533848,"domain_scores_codex":[0.9897594,0.001161023,0.000511201,0.0007974284,0.006645922,0.001124893],"domain_scores_gemma":[0.9197968,0.008627228,0.003587378,0.002657273,0.06226579,0.00306549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000460811,0.00002525614,0.004681797,0.0007503363,0.00002326549,0.00002358151,0.0001427718,0.0002008433,0.00007275768,0.008894537,0.8901683,0.09497053],"study_design_scores_gemma":[0.00006376692,0.00004105324,0.0214152,0.003191192,0.00008907905,0.00004876556,0.001237205,0.0004349259,0.0004781754,0.002811568,0.9701493,0.00003978243],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005746935,0.03763203,0.003989418,0.1626088,0.02660122,0.002130317,0.1782225,0.0009506224,0.5821182],"genre_scores_gemma":[0.114423,0.09865206,0.007434036,0.01454922,0.005518483,0.001339095,0.08085085,0.0006508084,0.6765825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9691144,"threshold_uncertainty_score":0.6729488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06793916177443032,"score_gpt":0.336005580466586,"score_spread":0.2680664186921556,"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."}}