{"id":"W2388339449","doi":"","title":"Existing Problem of Throughbred Allowance and the Analysis of Peasant on Policy Expectation","year":2012,"lang":"en","type":"article","venue":"Seed","topic":"Agricultural Systems and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Allowance (engineering); Peasant; Economics; Political science; Operations management; Law","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":[0.006260637,0.0004543036,0.001359336,0.000906818,0.001620046,0.002995989,0.001742078,0.002811609,0.01642125],"category_scores_gemma":[0.02021694,0.0003887691,0.0009302908,0.001622463,0.003875337,0.00373257,0.001978086,0.003412573,0.000243244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002869244,"about_ca_system_score_gemma":0.002398342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008356008,"about_ca_topic_score_gemma":0.01147397,"domain_scores_codex":[0.996829,0.001814761,0.00008891101,0.0005047351,0.000310528,0.0004521651],"domain_scores_gemma":[0.9849876,0.0122428,0.001130836,0.000755836,0.0005680725,0.0003148835],"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":[0.00005607724,0.00005244664,0.003339933,0.00005285073,0.00006051362,0.000215055,0.0003607894,0.007704534,0.0001027864,0.978456,0.001179631,0.008419259],"study_design_scores_gemma":[0.00001635468,0.0000504786,0.002765869,0.00004905711,0.00003439474,0.00006523004,0.0005219973,0.01479469,0.0001647025,0.9763209,0.005200183,0.00001612049],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5678491,0.002417248,0.1209064,0.04384303,0.0001870789,0.0001453379,0.001411959,0.0001427883,0.2630971],"genre_scores_gemma":[0.9857615,0.0004056026,0.002542902,0.0008248753,0.00008611831,0.00005615477,0.00005471988,0.00001836824,0.0102497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01642125,"threshold_uncertainty_score":0.05493456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03593929863271514,"score_gpt":0.2753562300427248,"score_spread":0.2394169314100097,"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."}}