{"id":"W7135998321","doi":"","title":"Analýza úspěšnosti anglického plnokrevníka v rovinových dostizích ve světě","year":2021,"lang":"cs","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Veterinary Equine Medical Research","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Rating system; Equine influenza; Rating scale; Offspring","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":[0.002194358,0.0003832193,0.0007102587,0.003543337,0.000369593,0.001865457,0.0003069265,0.0002555216,0.006301802],"category_scores_gemma":[0.004346631,0.0001660415,0.0005447496,0.002255956,0.00057373,0.0008482137,0.001120124,0.0004483823,0.001099407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004199621,"about_ca_system_score_gemma":0.0004760982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002993217,"about_ca_topic_score_gemma":0.003378238,"domain_scores_codex":[0.9983307,0.0004305803,0.0002219553,0.0003824759,0.0004815869,0.0001526862],"domain_scores_gemma":[0.9982415,0.0005903877,0.0004402503,0.0002215853,0.0003845865,0.0001215644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002428516,0.00009021039,0.9251806,0.0002097588,0.0003887214,0.0002254601,0.002265494,0.0007358079,0.002104792,0.001475235,0.001041175,0.0660399],"study_design_scores_gemma":[0.000005509477,0.0002085566,0.9886764,0.00009032364,0.000141617,0.0003367074,0.002649693,0.0009940206,0.0006411711,0.0008120438,0.005429509,0.00001444897],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901403,0.001316209,0.002956575,0.00008641362,0.00002722929,0.00004268045,0.001086466,0.00002914859,0.004314929],"genre_scores_gemma":[0.9959362,0.0003093328,0.001044092,0.00001899365,0.00002318538,0.00003068276,0.001028641,0.00002144594,0.001587497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006301802,"threshold_uncertainty_score":0.02108157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02548378554875021,"score_gpt":0.32328008129784,"score_spread":0.2977962957490898,"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."}}