{"id":"W2073720799","doi":"10.1111/j.1744-7976.2003.tb00169.x","title":"Assessing Technical Efficiency of Québec Dairy Farms","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Agriculture and Agri-Food Canada","funders":"Canadian Dairy Commission","keywords":"Inefficiency; Data envelopment analysis; Statistics; Econometrics; Mathematics; Parametric statistics; Standard deviation; Stochastic dominance; Ranking (information retrieval); Index (typography); Dominance (genetics); Robustness (evolution); Economics; Computer science; Biology; Microeconomics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0009773639,0.0003448553,0.0002756636,0.001546971,0.000489521,0.001441852,0.0004224741,0.0002886444,0.003430217],"category_scores_gemma":[0.003081976,0.00009637148,0.0002460646,0.002144162,0.0004469203,0.0003724253,0.0003180265,0.0002039249,0.0002273501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01489867,"about_ca_system_score_gemma":0.003476635,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.911933,"about_ca_topic_score_gemma":0.9068632,"domain_scores_codex":[0.9992446,0.0001578936,0.0000252309,0.0001289045,0.0003042509,0.0001391832],"domain_scores_gemma":[0.998085,0.0007753986,0.0002660745,0.00009839031,0.0006937794,0.00008143816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003443392,0.0001519747,0.5939865,0.0002078421,0.0003292427,0.0003713056,0.0007698848,0.2697604,0.007178114,0.01093765,0.005393355,0.1105695],"study_design_scores_gemma":[0.0000164979,0.00006701684,0.8759806,0.00003986796,0.00004619078,0.00004842909,0.000762072,0.1146482,0.002019849,0.0007526701,0.005570675,0.00004796288],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808645,0.0003607044,0.0051927,0.0001463894,0.00000364592,0.00004082196,0.002081838,0.0000448412,0.01126463],"genre_scores_gemma":[0.9935473,0.0001245029,0.002161631,0.00001904231,0.000001859668,0.00002044708,0.001105969,0.000007241183,0.003011893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.088067,"threshold_uncertainty_score":0.1771712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06421584352869142,"score_gpt":0.2607012510711764,"score_spread":0.196485407542485,"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."}}