{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001883138,0.0001268952,0.0001320601,0.0008503615,0.0003855222,0.0002540956,0.0001224974,0.0002565359,0.002376068],"category_scores_gemma":[0.0004661606,0.0001395229,0.0002595284,0.0003289178,0.0005094504,0.0002608205,0.0002879597,0.0001767795,0.0005359154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001603858,"about_ca_system_score_gemma":0.0001688378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001942666,"about_ca_topic_score_gemma":0.00351004,"domain_scores_codex":[0.9998462,0.00002292308,0.0000094846,0.00005157866,0.000039764,0.00002992144],"domain_scores_gemma":[0.9996467,0.0000612681,0.00008107197,0.00002572733,0.00009226995,0.0000931073],"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":[0.001291024,0.0000917279,0.3855168,0.0002955895,0.0001183553,0.001329436,0.003843151,0.0002784487,0.5578057,0.0007160716,0.0006539709,0.04805975],"study_design_scores_gemma":[0.000004712002,0.0003794503,0.990235,0.00001418026,0.00002262162,0.001358001,0.001616498,0.0001351955,0.004629491,0.0001390316,0.001453676,0.00001214039],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960235,0.0003822924,0.0005300331,0.00002564054,0.00001687735,0.00001602939,0.0003120314,0.000009502847,0.002684029],"genre_scores_gemma":[0.9935045,0.0004187755,0.001009959,0.00003042462,0.00001675445,0.00001758167,0.0002646567,0.00001152544,0.004725813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002376068,"threshold_uncertainty_score":0.007948756,"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."}}