{"id":"W4214569113","doi":"10.5539/ibr.v15n3p85","title":"A Multi-Criteria Model to Evaluate Public Services Contracts","year":2022,"lang":"en","type":"article","venue":"International Business Research","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Process (computing); Contract management; Identification (biology); Key (lock); Process management; Computer science; Business; Public sector; Risk analysis (engineering); Environmental economics; Economics; Computer security; Marketing","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":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.007835263,0.000103648,0.0001411737,0.001915891,0.0006685152,0.00119063,0.002374268,0.00002376997,0.009615487],"category_scores_gemma":[0.001460773,0.00009013058,0.00004948948,0.002947839,0.00007579814,0.0009407445,0.002112609,0.0002982264,0.001026723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001887278,"about_ca_system_score_gemma":0.0002537717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002036322,"about_ca_topic_score_gemma":0.0001696744,"domain_scores_codex":[0.9931926,0.0003398308,0.0004488176,0.0005337737,0.005104292,0.0003806757],"domain_scores_gemma":[0.995102,0.0003724982,0.00009604607,0.000451346,0.003858525,0.0001196144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002142937,0.001634598,0.1182782,0.00007319581,0.00031571,0.0001542888,0.006988955,0.1773159,0.03009085,0.01765819,0.1457347,0.4996125],"study_design_scores_gemma":[0.000627318,0.00002317687,0.04785886,0.000007299729,0.000001612707,0.00001430495,0.0008105959,0.6057134,0.00004204622,0.004676548,0.340096,0.0001288875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9181196,0.00004855925,0.009420959,0.04157616,0.002497576,0.0006656213,0.0001252176,0.00007524603,0.02747108],"genre_scores_gemma":[0.9776248,0.00001208509,0.00196713,0.0008003748,0.000142723,0.0002596275,0.00002979011,0.00001146226,0.01915203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4994836,"threshold_uncertainty_score":0.9998462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4469342728308902,"score_gpt":0.5380981766897598,"score_spread":0.09116390385886958,"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."}}