{"id":"W2358376750","doi":"","title":"Designing and empoldering of elite dairy cattel register and individual apolegamy PDA devices","year":2008,"lang":"en","type":"article","venue":"Xumu yu shouyi","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dairy cattle; Computer science; Agricultural science; Database; Mating; Register (sociolinguistics); Animal science; Biology","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":[0.0007752946,0.0005983827,0.0006197775,0.001059761,0.0004101504,0.001209493,0.002018735,0.0004400172,0.0078774],"category_scores_gemma":[0.001657283,0.0005606224,0.0003332241,0.0007002898,0.0002023832,0.001028535,0.0008875161,0.0003507479,0.002480676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003036107,"about_ca_system_score_gemma":0.0006201675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001232156,"about_ca_topic_score_gemma":0.001509175,"domain_scores_codex":[0.9991925,0.00009739798,0.00009258802,0.0002551724,0.0002570585,0.0001053165],"domain_scores_gemma":[0.9990037,0.0002067876,0.00009781219,0.000206165,0.0003903015,0.00009526886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001679018,0.0004032022,0.04024542,0.001064424,0.0001352372,0.002099394,0.001868619,0.00416828,0.1677253,0.009695263,0.02340255,0.7475134],"study_design_scores_gemma":[0.000496765,0.003029217,0.08186401,0.0003208231,0.0007937147,0.008819831,0.001959962,0.1322322,0.3857737,0.003026685,0.3812899,0.000393174],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1748988,0.0007532523,0.793571,0.0002610551,0.0003028691,0.001234901,0.001195511,0.009840338,0.01794237],"genre_scores_gemma":[0.5508935,0.0004235704,0.4092599,0.0002742026,0.00009413937,0.001147846,0.001545253,0.0004489759,0.03591261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0078774,"threshold_uncertainty_score":0.02635258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05911279934246774,"score_gpt":0.2918936232963748,"score_spread":0.2327808239539071,"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."}}