{"id":"W2547597112","doi":"10.5539/jas.v8n12p174","title":"Analyzing Farm Accounting Skills Related to Financial Performance of Dairy Industry: An Evidence from Jordan","year":2016,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Likert scale; Business; Accounting; Agriculture; Dairy industry; Dairy farming; Scale (ratio); Population; Sample (material); Accounting information system; Skills management; Agricultural science; Marketing; Geography; Statistics; Mathematics","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":[0.001411081,0.0001652532,0.0001640797,0.001363517,0.0003589472,0.000740943,0.0002362498,0.0001990498,0.001627891],"category_scores_gemma":[0.002751652,0.0001092387,0.000178035,0.001871436,0.0005291791,0.0005792652,0.0004442353,0.0002915704,0.0001736696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004571191,"about_ca_system_score_gemma":0.001480712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005691827,"about_ca_topic_score_gemma":0.01112353,"domain_scores_codex":[0.9994338,0.000164663,0.00006286755,0.00005703656,0.0002117038,0.00006987272],"domain_scores_gemma":[0.9960546,0.001279686,0.001326274,0.00008627214,0.0009567965,0.0002962172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005770232,0.0002215004,0.9658807,0.0002457369,0.00004164315,0.0003804124,0.003769872,0.0001420958,0.00033831,0.0002862945,0.0004269817,0.02820881],"study_design_scores_gemma":[0.000005493714,0.0001511988,0.982154,0.0001664426,0.00002537098,0.0002785048,0.01343075,0.0002780104,0.0003202134,0.0001185677,0.003064259,0.000007180257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979171,0.0005468215,0.00005803022,0.0001800351,0.000002492085,0.000005405054,0.00005547918,7.729688e-7,0.001233886],"genre_scores_gemma":[0.9985753,0.0008603533,0.0001248331,0.00006693371,0.000007745258,0.000004078523,0.00008105439,6.301845e-7,0.0002790482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005691827,"threshold_uncertainty_score":0.01131737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03397690267171039,"score_gpt":0.3340649742988649,"score_spread":0.3000880716271546,"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."}}