{"id":"W1580636577","doi":"10.1111/j.1746-692x.2010.00155.x","title":"The Evaluation of Rural Development Policy: Macro and Micro Perspectives
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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04320395,0.000921629,0.001353603,0.006110053,0.001759982,0.01878689,0.001167605,0.003026193,0.005553579],"category_scores_gemma":[0.03713781,0.0005038576,0.0007969296,0.005283326,0.01119407,0.008843931,0.005555449,0.003895474,0.0005422067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01859694,"about_ca_system_score_gemma":0.01148262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007625903,"about_ca_topic_score_gemma":0.004109886,"domain_scores_codex":[0.9263508,0.05831513,0.001756409,0.001686354,0.01003863,0.001852702],"domain_scores_gemma":[0.9291691,0.05350325,0.003209796,0.002133938,0.01040274,0.001581209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00009256266,0.00009406524,0.002387439,0.0009551225,0.00009138329,0.0001166911,0.001289379,0.01145087,0.0003534294,0.8912496,0.01288744,0.07903211],"study_design_scores_gemma":[0.00003158476,0.0001340489,0.004980697,0.003714695,0.00004303257,0.00009402727,0.005941642,0.009816119,0.001122681,0.7727573,0.201291,0.00007317085],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04184792,0.1338192,0.07118119,0.2865297,0.001508158,0.0003837274,0.001002271,0.0001323583,0.4635955],"genre_scores_gemma":[0.8909619,0.05215264,0.02885431,0.006680324,0.001464871,0.0005286953,0.0002450412,0.0001454696,0.01896673],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04320395,"threshold_uncertainty_score":0.2284871,"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."}}