{"id":"W2990261223","doi":"","title":"ANALYSIS OF EFFICIENCY INDICATORS OF FLAX FOR OIL CULTURES","year":2019,"lang":"ro","type":"article","venue":"Lucrări Științifice, Universitatea de Științe Agricole Și Medicină Veterinară a Banatului, Timisoara, Seria I, Management Agricol","topic":"Varied Academic Research Topics","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; China; European union; Competition (biology); Romanian; Agricultural economics; Oil production; Crop; Olive oil; Economy; Business; International trade; Economics; Forestry; Biology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001030383,0.0002583964,0.0001852996,0.002971251,0.0002753064,0.001076459,0.0002340213,0.0002009438,0.001498841],"category_scores_gemma":[0.003822024,0.00008562889,0.000338119,0.002555528,0.0003237678,0.0007272654,0.0004319723,0.0002229146,0.0003322072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022276,"about_ca_system_score_gemma":0.0002757172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004602537,"about_ca_topic_score_gemma":0.004632305,"domain_scores_codex":[0.9993579,0.0001435744,0.00006311105,0.0000940254,0.0002250389,0.0001163642],"domain_scores_gemma":[0.9967521,0.001261624,0.0008640149,0.0001815886,0.000735887,0.0002048532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001447602,0.0001127111,0.9778347,0.00002437853,0.00007376338,0.0001105326,0.00112731,0.001305753,0.00275926,0.0004710194,0.0001479667,0.01588786],"study_design_scores_gemma":[0.000001218417,0.00007780675,0.9949093,0.000004114226,0.00001003087,0.00004015283,0.001399049,0.002049225,0.001090746,0.00007700198,0.0003356998,0.000005600617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981471,0.00002558024,0.0002737648,0.000006565303,6.242009e-7,0.000007936574,0.0001506477,0.000002784422,0.001384991],"genre_scores_gemma":[0.9991026,0.00001994037,0.0002311555,0.000001178488,9.905438e-7,0.00000740145,0.0002301193,0.000001276199,0.0004054179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004602537,"threshold_uncertainty_score":0.009151518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009336175942116305,"score_gpt":0.2486447956005634,"score_spread":0.2393086196584471,"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."}}