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L’évaluation de la politique de développement rural: perspectives macro et microéconomiques
Die Evaluation der Politik zur Entwicklung des ländlichen Raums: Mikro‐ und Makroperspektiven","year":2010,"lang":"en","type":"article","venue":"EuroChoices","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge; University of Saskatchewan","funders":"","keywords":"Political science; Macro; Attractiveness; Welfare economics; Valuation (finance); Regional science; Rural development; Geography; Business; Economics; Agriculture; Computer science; Finance; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003821229,0.0003022173,0.0002401421,0.00005691698,0.0006269387,0.0003577971,0.0003328746,0.0001504751,0.0001490024],"category_scores_gemma":[0.0006164775,0.0001390996,0.0001023341,0.0001594912,0.0004640648,0.0003451805,0.0001450542,0.0002464552,0.000006432546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007038595,"about_ca_system_score_gemma":0.0004904399,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006714524,"about_ca_topic_score_gemma":0.008863963,"domain_scores_codex":[0.9972895,0.001119606,0.0004170343,0.0003310239,0.0003093264,0.0005335194],"domain_scores_gemma":[0.9979749,0.0007865433,0.0003362187,0.000107081,0.0006319445,0.0001633452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000131572,0.0002575598,0.04644744,0.00003795548,0.0004184924,7.555899e-7,0.101357,0.00007145094,0.7119408,0.02569225,0.0003386922,0.1133061],"study_design_scores_gemma":[0.000496163,0.00008647612,0.916405,0.0000471447,0.0001292592,0.00002152029,0.04720799,0.0003019674,0.0214493,0.009648602,0.003891548,0.0003149809],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856872,0.004051084,0.000004549185,0.006490412,0.00005330202,0.0007271697,0.0000410992,0.00004099222,0.002904225],"genre_scores_gemma":[0.9949875,0.002914329,0.001114234,0.0002023591,0.0004577552,0.0001243314,0.00005445049,0.000006634864,0.0001384114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8699576,"threshold_uncertainty_score":0.9998999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03349880998646335,"score_gpt":0.347800159742384,"score_spread":0.3143013497559207,"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."}}