{"id":"W3110181227","doi":"10.31073/abg.60.06","title":"DEVELOPMENT OF GENETIC RESOURCES OF DAIRY CATTLE BREEDING IN UKRAINE","year":2020,"lang":"en","type":"article","venue":"Animal Breeding and Genetics","topic":"Agriculture and Biological Studies","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genetic resources; Dairy cattle; Livestock; Geography; Biology; Agroforestry; Biotechnology; Animal science; Forestry","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":[0.001646587,0.0001269698,0.000235519,0.002182988,0.0005795789,0.0009050312,0.0004356516,0.00009148449,0.0008803781],"category_scores_gemma":[0.00206742,0.00009467381,0.0001245451,0.002121949,0.0004040863,0.0003345132,0.000642503,0.0001326294,0.0001319862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00142839,"about_ca_system_score_gemma":0.003975108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0106574,"about_ca_topic_score_gemma":0.01261491,"domain_scores_codex":[0.9989404,0.0005041199,0.00006394131,0.0001305825,0.0002695856,0.00009136645],"domain_scores_gemma":[0.9983618,0.0004224319,0.0004368973,0.0001622179,0.0004591053,0.0001574928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003069086,0.0001849816,0.3385027,0.0004222538,0.0001344023,0.001453879,0.005961,0.008902771,0.04094491,0.01236951,0.0009370476,0.5898797],"study_design_scores_gemma":[0.00002119563,0.000382,0.9394593,0.000275825,0.0001125635,0.0008225305,0.003899114,0.003320482,0.007513563,0.003651179,0.04051368,0.00002862239],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797782,0.001941648,0.006856467,0.0002831223,0.00001050124,0.00006349009,0.0006638019,0.00007092505,0.01033178],"genre_scores_gemma":[0.97498,0.001739938,0.02079342,0.00004095627,0.00001281591,0.00005621158,0.0008753305,0.00001710838,0.001484381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0106574,"threshold_uncertainty_score":0.02119076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04877962514491922,"score_gpt":0.2198493552713172,"score_spread":0.171069730126398,"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."}}