{"id":"W7133118804","doi":"10.5281/zenodo.18819834","title":"Methodological Evaluation of Smallholder Farms Systems in Ethiopia Using Panel Data for Efficiency Measurement","year":2005,"lang":"en","type":"article","venue":"Open MIND","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Panel data; Production (economics); Estimation; Data collection; Random effects model; Estimator; Agriculture","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1378731,0.0001529888,0.0005857899,0.0003750204,0.0001267978,0.00038702,0.003176767,0.0001348881,0.0004928344],"category_scores_gemma":[0.02647047,0.0001081367,0.00008738822,0.001149434,0.0001083132,0.000524964,0.0006751636,0.000131609,0.00006635105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000225079,"about_ca_system_score_gemma":0.0005094948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002335344,"about_ca_topic_score_gemma":0.0004427488,"domain_scores_codex":[0.9902422,0.002655514,0.001526323,0.001096721,0.004146699,0.0003325166],"domain_scores_gemma":[0.994125,0.002143077,0.0006465491,0.001637976,0.001381728,0.00006567582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007438344,0.0004985027,0.001382768,0.000008600317,0.00003758661,0.000001208249,0.001444326,0.5311639,0.03958586,0.0001231204,0.0001374465,0.4255423],"study_design_scores_gemma":[0.0008390998,0.00005076537,0.00136288,0.00007089436,0.0001478202,0.00000380239,0.00126803,0.988761,0.002476126,0.0003953365,0.0044621,0.0001621501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.817518,0.0007476501,0.177877,0.0003191472,0.0002713564,0.00152513,0.00005358695,0.000001504445,0.001686611],"genre_scores_gemma":[0.9059742,0.000001589861,0.09383283,0.00002466171,0.00005249695,0.00001784246,0.00001126652,0.000007040644,0.00007809711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.457597,"threshold_uncertainty_score":0.98173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9105631909896024,"score_gpt":0.5839714616179484,"score_spread":0.3265917293716539,"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."}}