{"id":"W3008441098","doi":"10.22367/mcdm.2019.14.09","title":"Identifying strategic development objectives for European Union states using the Dominance-based Rough Set Approach: the case of Poland","year":2019,"lang":"en","type":"article","venue":"Multiple Criteria Decision Making","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"European union; Dominance (genetics); Ranking (information retrieval); Order (exchange); Stochastic dominance; Rough set; Regional science; Political science; Economic system; Economics; Geography; Computer science; Econometrics; International trade; Artificial intelligence; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002265952,0.0002099954,0.0002345395,0.0001040956,0.0005647311,0.0005962184,0.0008670071,0.00004171015,0.000005375774],"category_scores_gemma":[0.00008060891,0.0001177097,0.0001014025,0.0003367823,0.00006436567,0.0003349666,0.0003598394,0.0001207899,0.000004217158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005459966,"about_ca_system_score_gemma":0.00007190621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005595939,"about_ca_topic_score_gemma":0.00002590865,"domain_scores_codex":[0.9980069,0.0004723486,0.0004842442,0.0004719991,0.0002386037,0.0003258567],"domain_scores_gemma":[0.9977662,0.001062752,0.0003030224,0.0006922263,0.0001431959,0.00003262474],"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":[0.000838373,0.0006180958,0.007693568,0.0008140144,0.0002178241,0.0005663405,0.06871133,0.2347675,0.02628501,0.009718893,0.00026627,0.6495028],"study_design_scores_gemma":[0.0009778327,0.00005877907,0.003450058,0.0002136924,0.00001097763,0.0001436784,0.002900369,0.9873989,0.0007172945,0.003644404,0.0002626752,0.0002214046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4463342,0.0001090564,0.5526832,0.00002738936,0.0002886206,0.0004126485,0.00001095699,0.00002287421,0.0001110136],"genre_scores_gemma":[0.7172552,0.000003339263,0.2826006,0.00006708949,0.00003768228,0.00001135299,0.000006331236,0.00001539883,0.000002947745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7526314,"threshold_uncertainty_score":0.5749348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1177811772436207,"score_gpt":0.3427535445846203,"score_spread":0.2249723673409995,"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."}}