{"id":"W3126769810","doi":"","title":"One Nation, One Language? Domestic Language Diversity, Trade and Welfare","year":2021,"lang":"en","type":"other","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Economic Policies and Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Welfare; Diversity (politics); Linguistics; Linguistic diversity; Political science; Economics; Market economy; Law; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008590414,0.0001737365,0.0004977524,0.0007140229,0.0006946893,0.001947597,0.0003777922,0.0005221397,0.006324177],"category_scores_gemma":[0.003615465,0.00009954798,0.0003189977,0.002004433,0.001544687,0.001368455,0.001009075,0.0007088113,0.0002590688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00355839,"about_ca_system_score_gemma":0.001337417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2283209,"about_ca_topic_score_gemma":0.2558244,"domain_scores_codex":[0.9996901,0.0001213824,0.000006538465,0.00004610955,0.00002429186,0.000111649],"domain_scores_gemma":[0.9985254,0.0007271603,0.0003532198,0.0000977279,0.0001136317,0.0001828463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006633628,0.0002775625,0.544797,0.0002208263,0.0005489758,0.0008948371,0.002935247,0.1741149,0.0007153653,0.1926862,0.01749302,0.0646528],"study_design_scores_gemma":[0.0002124804,0.0002078015,0.4724262,0.0004019507,0.0004290994,0.0003683421,0.01900133,0.163576,0.001041402,0.2994813,0.04273265,0.0001214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718313,0.001282676,0.00287614,0.004320679,0.00002236177,0.00001132164,0.002484446,0.00002137172,0.01714973],"genre_scores_gemma":[0.9965617,0.0004378026,0.0004259018,0.0001632945,0.00000913875,0.000008290747,0.0005026986,0.000007591754,0.001883612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2283209,"threshold_uncertainty_score":0.4539838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02243066068139193,"score_gpt":0.21223977405338,"score_spread":0.1898091133719881,"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."}}