{"id":"W2088358182","doi":"10.5539/jas.v1n1p82","title":"Treating Infertile Milk Cows by Traditional Chinese Medicine","year":2009,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Reproductive Physiology in Livestock","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Infertility; China; Dairy cattle; Animal science; Traditional Chinese medicine; Biology; Medicine; Veterinary medicine; Geography; Pregnancy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002110967,0.0002641021,0.0005605507,0.001128874,0.0007461698,0.0003169738,0.0004093809,0.000464246,0.002947201],"category_scores_gemma":[0.0003553322,0.00009981432,0.0007160577,0.00054993,0.0002653363,0.0003711156,0.0006704595,0.0008923244,0.0003662552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003684033,"about_ca_system_score_gemma":0.0005384363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002643121,"about_ca_topic_score_gemma":0.004837226,"domain_scores_codex":[0.9998816,0.00002461384,0.00001376506,0.00001415018,0.00003932511,0.00002654802],"domain_scores_gemma":[0.9999547,0.000008886924,0.00001212016,0.000003790738,0.00001125903,0.000009208959],"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":[0.0008146011,0.00170951,0.01746426,0.003835872,0.0002714937,0.005216216,0.001035298,0.0007554261,0.02129721,0.002796722,0.02426904,0.9205345],"study_design_scores_gemma":[0.002708927,0.01135763,0.2472629,0.004695481,0.002606482,0.04926059,0.003289649,0.01138841,0.03259078,0.01675419,0.6177211,0.0003638725],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4970898,0.409224,0.01973867,0.02065457,0.002902196,0.0009566867,0.0004964636,0.0006590143,0.04827855],"genre_scores_gemma":[0.7294621,0.2285684,0.01746915,0.007317578,0.002343487,0.0004023571,0.000575222,0.00005244506,0.0138093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002947201,"threshold_uncertainty_score":0.009859383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02061135616821588,"score_gpt":0.2493573443116752,"score_spread":0.2287459881434593,"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."}}