{"id":"W2293755426","doi":"","title":"Using Public-Private Partnerships to Improve Transportation Infrastructure in Canada","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Public-Private Partnership Projects","field":"Business, Management and Accounting","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fraser Institute","funders":"","keywords":"Government (linguistics); Commit; Public infrastructure; Business; Process (computing); Critical infrastructure; Transportation infrastructure; Quality (philosophy); Finance; Transport engineering; Engineering; Computer security; Political science; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000998896,0.000297594,0.0002813518,0.0005735072,0.0002043619,0.0005930402,0.0006031183,0.00009423674,0.0002029227],"category_scores_gemma":[0.000186575,0.0002794956,0.00007158065,0.001181187,0.00002122964,0.002967028,0.00005352691,0.00153048,0.00007420714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003326666,"about_ca_system_score_gemma":0.005333458,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5209668,"about_ca_topic_score_gemma":0.9490541,"domain_scores_codex":[0.9954244,0.00003256077,0.0005416003,0.000355906,0.0005139516,0.003131508],"domain_scores_gemma":[0.99907,0.00002453353,0.0003317868,0.0002419276,0.0002545748,0.00007713356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000998787,0.00008124709,0.5547805,0.0001168966,0.0001937434,0.00003521308,0.0001763456,0.002334082,0.01010703,0.400354,0.002873219,0.02884777],"study_design_scores_gemma":[0.005307222,0.0001270819,0.3558578,0.000183271,0.0001619671,0.0001320276,0.01527156,0.01923974,0.0007127938,0.5224531,0.07761771,0.00293578],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912717,0.00008514011,0.001407375,0.005378284,0.0004280862,0.0004684141,0.000002158492,0.00003757425,0.0009213142],"genre_scores_gemma":[0.9968237,0.00002053425,0.0002168159,0.001938759,0.000808622,0.00002732119,0.0000223871,0.00005130439,0.00009055964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4280874,"threshold_uncertainty_score":0.9999657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02649956057126274,"score_gpt":0.2316689055660599,"score_spread":0.2051693449947972,"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."}}