{"id":"W1913532868","doi":"","title":"Research Note: Numerical Governance and Expertise: The FAO Before WID","year":2002,"lang":"en","type":"article","venue":"Journals @ The Mount (Mount Saint Vincent University)","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Mandate; Corporate governance; Agriculture; Rurality; Political science; Economic growth; Sociology; Geography; Rural area; Economics; Management; Law","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.008692686,0.0002255641,0.0001904645,0.002159812,0.005049085,0.005065821,0.00062956,0.002226532,0.01536777],"category_scores_gemma":[0.03199923,0.0002402007,0.0001926903,0.004070717,0.005720249,0.01065822,0.003839754,0.003284444,0.001126712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006653647,"about_ca_system_score_gemma":0.007251695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05398319,"about_ca_topic_score_gemma":0.04354822,"domain_scores_codex":[0.9957339,0.002021766,0.0001552082,0.0005365526,0.0009304358,0.0006220482],"domain_scores_gemma":[0.9710647,0.01811101,0.002190959,0.001266521,0.005489483,0.001877226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002442842,0.0002482003,0.0627509,0.0005797063,0.00001981232,0.0008808012,0.1745685,0.0002276221,0.0005033268,0.3943151,0.2424091,0.1232526],"study_design_scores_gemma":[0.00001360854,0.0001220642,0.04173944,0.001448946,0.00001388718,0.0004266535,0.2152263,0.0001816803,0.0006457487,0.02571314,0.714435,0.00003364035],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1450986,0.01192758,0.003008709,0.5104611,0.004074892,0.0001989938,0.001545549,0.00002837569,0.3236563],"genre_scores_gemma":[0.87846,0.01174035,0.002757598,0.05193339,0.001808418,0.000239362,0.000410421,0.00007671701,0.05257367],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9949509,"threshold_uncertainty_score":0.107338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03500521205715836,"score_gpt":0.2388976712110615,"score_spread":0.2038924591539031,"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."}}