{"id":"W2899484559","doi":"10.1051/matecconf/201821904006","title":"The criteria for evaluation and selection the best tender applied by the authorities in Poland and selected EU countries","year":2018,"lang":"en","type":"article","venue":"MATEC Web of Conferences","topic":"Public Procurement and Policy","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Call for bids; Procurement; Quarter (Canadian coin); Order (exchange); Work (physics); Business; Selection (genetic algorithm); Accounting; Marketing; Finance; Computer science; Engineering; Geography","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":[0.001032455,0.00008634038,0.0000895909,0.00005803506,0.0004547816,0.0006233208,0.0001295873,0.00003695529,0.00004582924],"category_scores_gemma":[0.0001125501,0.00004214206,0.000007950786,0.000189288,0.0002927799,0.0002417785,0.00004139824,0.0000469517,0.000002042495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006335065,"about_ca_system_score_gemma":0.0001113949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007914975,"about_ca_topic_score_gemma":0.001943436,"domain_scores_codex":[0.9994118,0.00002159631,0.0001504488,0.0001043453,0.0001630573,0.0001487699],"domain_scores_gemma":[0.9993662,0.000121298,0.0001174877,0.00005529678,0.0003357239,0.000003941047],"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":[0.0004481303,0.00005448768,0.08483315,0.0003292406,0.0001210259,3.8249e-8,0.001441618,5.477852e-7,0.0066182,0.8106331,0.06501021,0.03051031],"study_design_scores_gemma":[0.001924194,0.000101192,0.1053121,0.000066063,0.0001755414,0.000001911655,0.005565188,0.02364562,0.001555005,0.06176505,0.7995925,0.0002956621],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566218,0.0006679532,0.00006317567,0.01327689,0.0001701204,0.0009150458,0.00001132387,0.00003379831,0.02823989],"genre_scores_gemma":[0.9990363,0.00005797038,0.000005448255,0.0002991059,0.0003288848,0.00009919383,0.00001003736,0.000004695322,0.0001583276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.748868,"threshold_uncertainty_score":0.6010696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0300133162965211,"score_gpt":0.2923442985411681,"score_spread":0.262330982244647,"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."}}