{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001407621,0.0004252692,0.0003263262,0.001569671,0.002436201,0.001544373,0.0004433448,0.001084987,0.002563727],"category_scores_gemma":[0.001464339,0.0001119607,0.000510244,0.001592674,0.001368475,0.0004748079,0.0009082318,0.0007199531,0.0001934211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003612116,"about_ca_system_score_gemma":0.001258079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2376688,"about_ca_topic_score_gemma":0.2471424,"domain_scores_codex":[0.9990006,0.0005948678,0.00002055862,0.00006061174,0.00009148347,0.0002318331],"domain_scores_gemma":[0.9987249,0.0006010245,0.0002236155,0.00005650468,0.0001984514,0.0001955464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004399401,0.001326713,0.7944313,0.0002695861,0.0001932235,0.06164622,0.05745731,0.004777027,0.00173513,0.01200245,0.005235147,0.06048592],"study_design_scores_gemma":[0.00004248495,0.0006147646,0.7743142,0.0003204541,0.00007631081,0.01195944,0.1746089,0.004688375,0.0008061912,0.001131955,0.03134322,0.00009360788],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965488,0.000416659,0.0001056355,0.0004219226,0.000006078452,0.00001376849,0.00009143466,0.000002463606,0.002393154],"genre_scores_gemma":[0.9978811,0.0004271783,0.0002521786,0.00006570377,0.000009906684,0.00001262284,0.00007515596,0.000002562617,0.001273508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2376688,"threshold_uncertainty_score":0.4725708,"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."}}