{"id":"W224424158","doi":"","title":"Growth and Well-Being: The Case Study of French UPR/Croissance et Bien-Etre : Le Cas Des RUP Francaises","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Island Studies and Pacific Affairs","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human Development Index; Martinique; Gross domestic product; Per capita; Geography; Subsidy; Development economics; Poverty; Consumption (sociology); Economics; Human development (humanity); Economic growth; Demography; Sociology; Population; Ethnology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001361281,0.00008692689,0.0001618374,0.0001601034,0.002259935,0.0001158315,0.0004155208,0.0000297331,0.0000116682],"category_scores_gemma":[0.0002541147,0.00005797238,0.00004605601,0.0008013744,0.00234406,0.0003433125,0.00001385861,0.0001573607,5.47727e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007310819,"about_ca_system_score_gemma":0.001812008,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2200979,"about_ca_topic_score_gemma":0.5446697,"domain_scores_codex":[0.9987697,0.0001114206,0.0002119587,0.0001467276,0.0004108033,0.0003493897],"domain_scores_gemma":[0.9988178,0.0001490286,0.0001768887,0.00009908914,0.0003431301,0.0004140444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001758986,0.0001400076,0.2368985,0.00001200209,0.00004176719,0.003937173,0.6432278,0.0000829959,0.00009598506,0.09576018,0.01133031,0.008455702],"study_design_scores_gemma":[0.0006950677,0.0009102417,0.3217277,0.0001104027,0.00003537727,0.002530204,0.6403951,0.00002156423,0.00003931887,0.01372955,0.01952331,0.0002820942],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9611147,0.001020542,0.00002479288,0.0125442,0.0001685106,0.0001027947,0.000001603259,0.000002461079,0.02502037],"genre_scores_gemma":[0.9992259,0.000170116,0.00008964814,0.0002152762,0.0001013947,4.953911e-7,5.086382e-8,0.000002339426,0.0001948207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3245718,"threshold_uncertainty_score":0.999039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02566924512814983,"score_gpt":0.2874273916861468,"score_spread":0.261758146557997,"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."}}