{"id":"W2598691072","doi":"10.1177/2399654417701430","title":"Infrastructure public–private partnerships as drivers of innovation? Lessons from Ontario, Canada","year":2017,"lang":"en","type":"article","venue":"Environment and Planning C Politics and Space","topic":"Public-Private Partnership Projects","field":"Business, Management and Accounting","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"General partnership; Public–private partnership; Procurement; Business; Private sector; Public relations; Public sector; Transformational leadership; Process (computing); Public administration; Marketing; Finance; Economics; Economic growth; Political 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":[],"consensus_categories":[],"category_scores_codex":[0.0001725487,0.000191282,0.0002117594,0.0001254781,0.0005053351,0.0004457561,0.0002429957,0.00008730606,0.0001696892],"category_scores_gemma":[0.0001946411,0.0001868369,0.00001634371,0.00006073653,0.000177988,0.0006058373,0.0003391333,0.0001952594,0.00000481187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008625281,"about_ca_system_score_gemma":0.0001384776,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5121761,"about_ca_topic_score_gemma":0.1301104,"domain_scores_codex":[0.9989073,0.000008561243,0.0002113018,0.0002731475,0.0002576904,0.000341957],"domain_scores_gemma":[0.9991633,0.00004659267,0.0003717161,0.0003422838,0.00003179991,0.00004436629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007056491,0.000009430999,0.7544944,0.00002481438,0.0000436427,0.0000126091,0.0002646314,0.0000212165,0.0001538541,0.2404724,0.004343741,0.0001521965],"study_design_scores_gemma":[0.0004168159,0.000006722297,0.6123392,0.00003206872,0.00003211028,9.890207e-7,0.0004292386,0.0002397186,0.0001126866,0.009695747,0.3764772,0.0002175387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776487,0.00004733005,0.00003777172,0.006594412,0.0001544687,0.00009960975,0.00002069146,0.00001379965,0.01538322],"genre_scores_gemma":[0.9977198,0.00001344578,0.0002198156,0.0007070904,0.0002376745,0.00000335449,0.00009980963,0.00001507006,0.0009839623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3820657,"threshold_uncertainty_score":0.8857629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04357317225955517,"score_gpt":0.2498384689493537,"score_spread":0.2062652966897986,"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."}}