{"id":"W2923965420","doi":"10.5539/mas.v13n4p51","title":"Assessment and Selection of Contractors in Specific Contracting Projects with Supply Chain Approach, Using GRAY and AHP Methods as Decision Support","year":2019,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Call for bids; Analytic hierarchy process; Ranking (information retrieval); Gray (unit); Rank (graph theory); Operations research; Procurement; Computer science; Selection (genetic algorithm); Business; Supply chain; Operations management; Engineering; Marketing; Mathematics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0182191,0.0002974472,0.0007063227,0.001206151,0.0002896173,0.0007316102,0.0006704713,0.0001186486,0.00006491084],"category_scores_gemma":[0.0007708972,0.000212944,0.00003857274,0.002168877,0.0005733192,0.0009908477,0.0003402332,0.0003488137,0.0000050265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001894639,"about_ca_system_score_gemma":0.0004843535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006748197,"about_ca_topic_score_gemma":0.00002432028,"domain_scores_codex":[0.994001,0.0002816904,0.001006981,0.001583896,0.002539544,0.0005869192],"domain_scores_gemma":[0.9955736,0.002658339,0.000665357,0.0005362632,0.000359213,0.0002072714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001930558,0.0000861622,0.0582062,0.00000873469,0.000003981326,0.000004498912,0.001510655,0.001326384,0.7621601,0.001664813,0.000002537214,0.1748329],"study_design_scores_gemma":[0.001638605,0.0001480497,0.1729903,0.00005939269,0.000008040442,0.000137204,0.002638301,0.8016067,0.01285942,0.007477496,0.00009386389,0.000342658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5679817,0.00002282814,0.4296936,0.000008697314,0.00008298728,0.0006876728,0.000001933116,0.0000146849,0.001505879],"genre_scores_gemma":[0.6893924,0.000006825461,0.3105018,0.00003334692,0.00001375555,0.00001441986,5.063824e-7,0.00001524825,0.00002162801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8002803,"threshold_uncertainty_score":0.8683602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1214380124307202,"score_gpt":0.4433085411891697,"score_spread":0.3218705287584495,"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."}}