{"id":"W4401766631","doi":"10.34655/bgsha.2020.61.4.014","title":"MORPHOLOGICAL CHARACTERISTICS OF HAIR OF DOMESTIC, AGRICULTURAL AND HUNTING ANIMALS","year":2020,"lang":"ru","type":"article","venue":"Vestnik Burâtskoj gosudarstvennoj selʹskohozâjstvennoj akademii im. V.R. Fillipova.","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Business; Geography; Archaeology","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002673145,0.001618247,0.003788329,0.0003832219,0.0006585862,0.000406186,0.001721475,0.001297544,0.003377074],"category_scores_gemma":[0.002965022,0.001443632,0.0006376012,0.001785307,0.002168655,0.0008340526,0.001471052,0.001100798,0.0004213227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000164697,"about_ca_system_score_gemma":0.0005164355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003103308,"about_ca_topic_score_gemma":0.0000105497,"domain_scores_codex":[0.9880303,0.001083592,0.004836116,0.002268792,0.001809155,0.001972014],"domain_scores_gemma":[0.9914264,0.001097704,0.003909396,0.001226602,0.001173168,0.001166742],"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":[0.0005635605,0.0005044289,0.007584439,0.002112962,0.0002772914,0.0001222376,0.003821056,0.0002387644,0.9776798,0.00262621,0.002451017,0.002018236],"study_design_scores_gemma":[0.008843441,0.008206239,0.616861,0.003785736,0.003285027,0.001221781,0.005510041,0.003913349,0.3230153,0.001922509,0.0173703,0.006065228],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856712,0.003336729,0.000343324,0.002768153,0.001498335,0.001649512,0.003264653,0.000324279,0.001143847],"genre_scores_gemma":[0.9905145,0.001406124,0.005311423,0.0005560392,0.001398478,0.00008714525,0.0002707008,0.0001851681,0.0002704664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6546645,"threshold_uncertainty_score":0.999999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03365984695843248,"score_gpt":0.2684453888351494,"score_spread":0.2347855418767169,"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."}}