{"id":"W7084220281","doi":"","title":"Combatting Corruption and Collusion in Public Procurement:A Challenge for Governments Worldwide","year":2024,"lang":"en","type":"book","venue":"Research Portal (King's College London)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Collusion; Cartel; Procurement; Language change; Corporate governance; Enforcement; Resilience (materials 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002548897,0.000438304,0.0005447473,0.0007028426,0.0002486344,0.0002137889,0.0004703473,0.0006292149,0.0000719622],"category_scores_gemma":[0.0004905549,0.0004622854,0.0002314024,0.000407069,0.0002319022,0.00002392161,0.001088487,0.0008480985,0.00001610139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004165937,"about_ca_system_score_gemma":0.0008373391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000387388,"about_ca_topic_score_gemma":0.00196136,"domain_scores_codex":[0.9958976,0.0001754101,0.0006717967,0.001247178,0.001167333,0.0008407201],"domain_scores_gemma":[0.9983354,0.0001205116,0.0002397657,0.0006325518,0.0004687006,0.0002031337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008623887,0.001009889,0.001541897,0.004947891,0.001244629,0.001156299,0.000222795,0.000003925644,0.09974929,0.01348917,0.848285,0.02748681],"study_design_scores_gemma":[0.00127526,0.0009405342,0.00007172961,0.001120798,0.00009585738,0.00003179282,0.0001826979,0.0005407861,0.008820781,0.003319527,0.9828867,0.0007134755],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01758188,0.02907128,0.0005564665,0.002006561,0.00032421,0.01226613,0.0008116474,0.000230187,0.9371516],"genre_scores_gemma":[0.326339,0.006935819,0.0005092743,0.0001246443,0.0006528961,0.001197569,0.002076611,0.0002294,0.6619348],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3087571,"threshold_uncertainty_score":0.9997829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04039078687775222,"score_gpt":0.3429966824924921,"score_spread":0.3026058956147399,"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."}}