{"id":"W4310869910","doi":"10.18280/ijsdp.170733","title":"Sustainable Competitiveness: Application of Data Modeling to Identify Predictive Factors by Country","year":2022,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Sustainable development; Intellectual capital; Context (archaeology); Corporate governance; Order (exchange); Identification (biology); Social capital; Natural capital; Index (typography); Business; Economics; Environmental economics; Political science; Computer science; Geography; Management","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":[0.0008351528,0.0001327013,0.0002058293,0.0004644111,0.0002864351,0.0001940074,0.000813009,0.00002613193,0.00005194751],"category_scores_gemma":[0.000083739,0.0001350723,0.00002624308,0.0003191917,0.00002063665,0.001649466,0.001006457,0.0001674499,0.00000112054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001994467,"about_ca_system_score_gemma":0.0001612255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003566437,"about_ca_topic_score_gemma":0.000001705866,"domain_scores_codex":[0.9984033,0.00001800092,0.0004517373,0.000204379,0.0006801755,0.0002423736],"domain_scores_gemma":[0.9983047,0.00005347198,0.0004083596,0.0001013708,0.001106756,0.00002538528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002798104,0.0009229021,0.586274,0.001139516,0.001463015,0.002325134,0.0107745,0.1975629,0.00121866,0.1862098,0.004332542,0.004978837],"study_design_scores_gemma":[0.001431517,0.00006383732,0.04329969,0.0002177247,0.00008823321,0.00004252577,0.3254644,0.02244227,0.0002521068,0.002701428,0.6035144,0.0004819082],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.95354,0.0003887533,0.0441645,0.0002461218,0.0002696862,0.000201459,0.00002966254,0.00001493816,0.001144902],"genre_scores_gemma":[0.9986893,0.000007570696,0.0002529337,0.0002690703,0.0001902715,0.00001320187,0.0003128189,0.00001237259,0.0002524759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5991818,"threshold_uncertainty_score":0.550809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02467506130070774,"score_gpt":0.2763362626765121,"score_spread":0.2516612013758043,"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."}}