{"id":"W3123714338","doi":"","title":"Cross-Country Comparison of Farm Size Distribution","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gini coefficient; Agriculture; Distribution (mathematics); Geography; Agricultural economics; Consolidation (business); Inequality; Production (economics); Economics; Economic inequality","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":[0.0008855171,0.0001623482,0.0002941464,0.003187798,0.0001845532,0.0007091191,0.0001905839,0.0001646282,0.003619962],"category_scores_gemma":[0.002198141,0.00009333799,0.0003583268,0.004338924,0.0002164507,0.0004812743,0.0007595103,0.0002108732,0.0004885789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003642484,"about_ca_system_score_gemma":0.0002067232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01590976,"about_ca_topic_score_gemma":0.02326531,"domain_scores_codex":[0.9994175,0.0001141966,0.00004561732,0.0001530451,0.0001170421,0.0001525558],"domain_scores_gemma":[0.9976385,0.0006751913,0.0006666495,0.0002261925,0.0006561495,0.0001373986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003483879,0.00003948989,0.9683347,0.0001490728,0.0006816824,0.0003244623,0.0007607492,0.002937519,0.0007128121,0.001629496,0.005289496,0.01879227],"study_design_scores_gemma":[0.000002808642,0.00002334624,0.9951166,0.00001681435,0.00003402045,0.00009954126,0.0005557689,0.0002258918,0.0001548001,0.00008048153,0.003683055,0.000006974059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654624,0.0008714663,0.0006931251,0.0000659513,0.00001981246,0.00001484303,0.02347494,0.00003705584,0.009360295],"genre_scores_gemma":[0.9690174,0.0003796443,0.0003625291,0.00002385306,0.000009176408,0.00001994591,0.0285122,0.0000161941,0.001659167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01590976,"threshold_uncertainty_score":0.03163433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03613577090317997,"score_gpt":0.3348927440675558,"score_spread":0.2987569731643758,"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."}}