{"id":"W1991067126","doi":"10.1068/c12250","title":"Fostering meaningful partnerships in public–private partnerships: innovations in partnership design and process management to create value","year":2015,"lang":"en","type":"article","venue":"Environment and Planning C Government and Policy","topic":"Public-Private Partnership Projects","field":"Business, Management and Accounting","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"General partnership; Argument (complex analysis); Process (computing); Public relations; Public–private partnership; Business; Value (mathematics); Scale (ratio); Political science; Computer science; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04797212,0.001192023,0.0009367222,0.003469482,0.004518992,0.0146407,0.004148158,0.004314473,0.005386404],"category_scores_gemma":[0.03989856,0.0009698545,0.001495418,0.004105607,0.02087574,0.01836467,0.0132861,0.005713834,0.001048634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007062702,"about_ca_system_score_gemma":0.01333432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001669158,"about_ca_topic_score_gemma":0.00242739,"domain_scores_codex":[0.9424343,0.04746355,0.001337825,0.002028912,0.005426192,0.001309185],"domain_scores_gemma":[0.9529942,0.02990882,0.003759294,0.007982012,0.002904554,0.002451058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002661269,0.000299113,0.0007276878,0.0004016549,0.00002613633,0.00009561742,0.006199732,0.003906224,0.0005588828,0.9271555,0.001272819,0.05933012],"study_design_scores_gemma":[0.0001175894,0.0003840578,0.0004481954,0.0007842375,0.00005106059,0.0002442858,0.005527486,0.02650371,0.001845978,0.868928,0.0950826,0.0000828988],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01663366,0.002020848,0.9178581,0.01155555,0.0002884052,0.001114646,0.00003573476,0.0002321139,0.05026084],"genre_scores_gemma":[0.4164068,0.003066202,0.5706376,0.001009827,0.0001793445,0.002831691,0.00006373672,0.0001378058,0.005666991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04797212,"threshold_uncertainty_score":0.2537039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1749968980028225,"score_gpt":0.3047398332001116,"score_spread":0.1297429351972891,"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."}}