{"id":"W4309585359","doi":"10.54016/svitok.2022.94.88.002","title":"An overview of the oilseed flax seed market in Russia","year":2022,"lang":"ru","type":"article","venue":"Technical crops Scientifical agricultural journal","topic":"Agricultural Productivity and Crop Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Christian ministry; Agriculture; Yield (engineering); Agricultural science; Crop; Agricultural economics; Hectare; Profitability index; Business; Agronomy; Geography; Biology; Economics; Political science","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":["sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003952086,0.000665121,0.0009183125,0.00008203155,0.00323385,0.0007031327,0.00375638,0.0003183121,0.007631008],"category_scores_gemma":[0.0002667167,0.0002163938,0.0009830525,0.004655487,0.001040096,0.0008242065,0.001819655,0.00317235,0.00002550681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007259058,"about_ca_system_score_gemma":0.0001216751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004898584,"about_ca_topic_score_gemma":0.0006274394,"domain_scores_codex":[0.990753,0.002064863,0.001852475,0.001264806,0.002705972,0.0013589],"domain_scores_gemma":[0.9972306,0.0001878693,0.001161427,0.0004642908,0.0003412832,0.000614511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002514623,0.002791888,0.00541089,0.00005531114,0.00004094102,0.00004230412,0.0002561641,0.0005328947,0.9591568,0.001327714,0.02139579,0.00873782],"study_design_scores_gemma":[0.0006227659,0.001220116,0.9748222,0.0001574166,0.00009477956,0.0007683098,0.002498115,0.0001260145,0.005716227,0.001104592,0.01217194,0.0006975133],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767205,0.00198382,0.000002132097,0.01640334,0.002393463,0.001047172,0.0002719871,0.00007801743,0.001099628],"genre_scores_gemma":[0.9929021,0.0002074835,0.00009006028,0.0003243317,0.0007657701,0.00005126408,0.00005013772,0.000006220836,0.005602637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9694113,"threshold_uncertainty_score":0.9991274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03883309287617184,"score_gpt":0.2634897897900649,"score_spread":0.224656696913893,"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."}}