{"id":"W3045066834","doi":"10.1080/01446193.2020.1795217","title":"Assessing the impact of social procurement policies for Indigenous people","year":2020,"lang":"en","type":"article","venue":"Construction Management and Economics","topic":"Community Development and Social Impact","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Procurement; Value (mathematics); Conceptual framework; Accountability; Social impact assessment; Economic growth; Public relations; Business; Political science; Sociology; Economics; Marketing; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002228271,0.00009915214,0.0002421539,0.00007798304,0.0003673519,0.0001851856,0.00013277,0.00003937944,0.00005229097],"category_scores_gemma":[0.00001357973,0.00009592615,0.0001193813,0.0001083105,0.00007749857,0.0002582888,0.00008455299,0.00005957465,0.000006468097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008339439,"about_ca_system_score_gemma":0.00002008838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001071469,"about_ca_topic_score_gemma":0.00001677928,"domain_scores_codex":[0.9993435,0.000008304285,0.0003420756,0.0001338431,0.00001170058,0.0001606285],"domain_scores_gemma":[0.9995518,0.00002494678,0.0002879495,0.0000796684,0.00001743142,0.00003823673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006414423,0.00006520018,0.5102739,0.0002625532,0.0008699764,1.577238e-7,0.0451855,0.0002338826,0.000009568688,0.3960625,0.001132068,0.04584062],"study_design_scores_gemma":[0.001502468,0.0001765472,0.9106383,0.00001005322,0.00004873444,0.00000240087,0.02060184,0.003890231,0.00002823355,0.0535883,0.009075624,0.0004373149],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891162,0.000116774,0.001776145,0.001115873,0.0001077111,0.0004096215,0.00003143779,0.00001730132,0.007308944],"genre_scores_gemma":[0.9986405,0.0002026607,0.0008460952,0.0001147786,0.00009499848,0.00001999951,0.00001410688,0.00001034896,0.00005652727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4003644,"threshold_uncertainty_score":0.3911754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0687312696853455,"score_gpt":0.2903295940541011,"score_spread":0.2215983243687556,"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."}}