{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002805377,0.001541706,0.003021452,0.00784357,0.0005890721,0.0003765092,0.004077828,0.001071004,0.002824512],"category_scores_gemma":[0.0003583638,0.001478333,0.001592001,0.01434438,0.0007100124,0.001985398,0.002062955,0.001204998,0.0002107913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000917757,"about_ca_system_score_gemma":0.0003126234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008800381,"about_ca_topic_score_gemma":0.00008922554,"domain_scores_codex":[0.9895321,0.0003019708,0.002515004,0.002331954,0.002737328,0.002581716],"domain_scores_gemma":[0.9926339,0.0007239818,0.00314608,0.001994501,0.001133649,0.0003678741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01476022,0.01424857,0.2217603,0.09325511,0.09070905,0.001580645,0.0153912,0.04311258,0.06397197,0.1521312,0.1821266,0.1069525],"study_design_scores_gemma":[0.02311273,0.003095727,0.1516425,0.003944764,0.04115729,0.00002317447,0.05238229,0.08109566,0.001533066,0.0006381308,0.6355654,0.005809261],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8740835,0.001688796,0.001477827,0.001978614,0.002049283,0.005248004,0.0003629918,0.0003023786,0.1128086],"genre_scores_gemma":[0.9603533,0.002076131,0.001254653,0.0008469968,0.0006552431,0.0002045749,0.0008542796,0.0001781457,0.03357663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4534388,"threshold_uncertainty_score":0.9997332,"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."}}