{"id":"W3153283491","doi":"10.1016/j.retrec.2021.101069","title":"A procurement policy-making pathway to future-proof large-scale transport infrastructure assets","year":2021,"lang":"en","type":"article","venue":"Research in Transportation Economics","topic":"Public-Private Partnership Projects","field":"Business, Management and Accounting","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"Australian Research Council; Government of Canada","keywords":"Procurement; Normative; Business; Risk analysis (engineering); Digitization; Economies of scale; Scale (ratio); Economics; Finance; Computer science; Marketing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001664134,0.0002552618,0.0003317181,0.001241123,0.0002084293,0.0003795121,0.0004558512,0.0001842369,0.0002501761],"category_scores_gemma":[0.0000756719,0.0002895963,0.0001321392,0.002061342,0.00004404347,0.001788307,0.00003969648,0.0005475155,0.0001005961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003915719,"about_ca_system_score_gemma":0.000971771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001949462,"about_ca_topic_score_gemma":0.01688759,"domain_scores_codex":[0.9971321,0.00004400516,0.0006481212,0.0007116347,0.0004529306,0.001011179],"domain_scores_gemma":[0.998843,0.000042427,0.0001394888,0.0004336841,0.0004681643,0.00007330598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004628057,0.0008352342,0.3736323,0.001998003,0.0001519916,0.0003419464,0.005838054,0.02511808,0.00236812,0.5685353,0.00195483,0.01876337],"study_design_scores_gemma":[0.0017741,0.00002905155,0.3966097,0.0001800458,0.00001779704,0.00000300863,0.00447021,0.002311632,0.001716548,0.01622281,0.5760159,0.0006491463],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702727,0.00007092377,0.001456942,0.01107211,0.0003542571,0.001113317,0.00008596366,0.00009916435,0.0154746],"genre_scores_gemma":[0.9948367,0.00002933544,0.001237044,0.001541457,0.001411048,0.0002145104,0.0005194978,0.00006377036,0.000146606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5740611,"threshold_uncertainty_score":0.9999556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04603558719756837,"score_gpt":0.3331010995453328,"score_spread":0.2870655123477645,"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."}}