{"id":"W6908542888","doi":"10.26190/unsworks/26844","title":"Cultural counterfactuals: assessing the impact of Indigenous social procurement in Australia","year":2018,"lang":"en","type":"article","venue":"UNSWorks (University of New South Wales, Sydney, Australia)","topic":"Public Procurement and Policy","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Indigenous; Social risk; Circumstantial evidence; Population; Social unrest","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004940183,0.0003098175,0.0004330626,0.0004036235,0.0003977589,0.0002284184,0.0008512328,0.0002336808,0.001023334],"category_scores_gemma":[0.0000475818,0.0002663849,0.0002742338,0.0010035,0.0004592476,0.001645725,0.0002338272,0.0003522956,0.0001291619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002109126,"about_ca_system_score_gemma":0.0001947259,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03448988,"about_ca_topic_score_gemma":0.00174937,"domain_scores_codex":[0.9981427,0.00003609007,0.0003585519,0.0003340344,0.0004996563,0.0006289967],"domain_scores_gemma":[0.9986221,0.00002247429,0.0007059058,0.0002762802,0.0003244507,0.00004881937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007296112,0.0008700644,0.6544744,0.000782168,0.000987731,0.00004302679,0.1068952,0.0004366698,0.003041947,0.004185326,0.2220996,0.005454366],"study_design_scores_gemma":[0.004189149,0.0002286826,0.9405463,0.000560625,0.0004028211,0.000005907511,0.0308278,0.0005593644,0.000200066,0.002209524,0.01918071,0.001089055],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966591,0.00002390413,0.0001882709,0.0006332556,0.0001846349,0.0004348192,0.00001958562,0.00005039071,0.001806045],"genre_scores_gemma":[0.9952304,0.000002950959,0.0001165081,0.00006511723,0.001063287,5.673814e-7,0.00004159422,0.00001756914,0.003462032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.286072,"threshold_uncertainty_score":0.9999788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1105204335058575,"score_gpt":0.3380507675034733,"score_spread":0.2275303339976158,"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."}}