{"id":"W2747416349","doi":"10.5539/ibr.v10n9p116","title":"Can Intelligence Overcome the Effect of Individualism on Economic Development of Regions?","year":2017,"lang":"en","type":"article","venue":"International Business Research","topic":"Educational Outcomes and Influences","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Individualism; Poverty; Per capita; Latin Americans; Economics; Human development (humanity); Object (grammar); Sustainable development; Economic growth; Political science; Sociology; Computer science; Market economy","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":[0.002616739,0.00005780107,0.0001118946,0.0001591622,0.0007415513,0.0001282422,0.00150893,0.00004061677,0.0002523611],"category_scores_gemma":[0.00194207,0.00003868946,0.0000382876,0.0001031305,0.0008701192,0.0001802204,0.0001760706,0.0001291083,0.00004061358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001951602,"about_ca_system_score_gemma":0.0006737359,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007602642,"about_ca_topic_score_gemma":0.001959247,"domain_scores_codex":[0.9984217,0.000172161,0.0002404952,0.0001328684,0.0008730507,0.0001597501],"domain_scores_gemma":[0.9978309,0.001177085,0.0001945242,0.0002628791,0.0004963252,0.00003828631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001245994,0.00008819988,0.5348084,0.00004816632,0.0001394002,0.000001984604,0.01428274,0.0002717392,0.000135856,0.413331,0.001596186,0.03517175],"study_design_scores_gemma":[0.0001095687,0.00003914092,0.9428607,0.0001248922,0.000002472395,4.749169e-7,0.001009427,0.000009790197,0.003985068,0.006118845,0.04567152,0.00006814922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9399208,0.00002882753,0.00001420237,0.02763207,0.0007252949,0.0001918051,0.00001383264,0.000003907634,0.03146924],"genre_scores_gemma":[0.9983245,0.00007889449,0.00007745828,0.00003218156,0.0001873149,0.00002710728,0.000004858002,0.000003883106,0.001263806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4080522,"threshold_uncertainty_score":0.9990058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1551369829238686,"score_gpt":0.4918662792144266,"score_spread":0.336729296290558,"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."}}