{"id":"W245702888","doi":"","title":"Relationship between productive and reproductive parameters of dairy cows in different production systems.","year":2010,"lang":"es","type":"article","venue":"Archivos Latinoamericanos de Producción Animal","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grazing; Breed; Productivity; Biology; Milk production; Production system (computer science); Production (economics); Selection (genetic algorithm); Livestock; Animal science; Dairy cattle; Agronomy; Agricultural science; Biotechnology; Ecology; Economics","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":[0.0004963691,0.0001571501,0.0001628903,0.0007340781,0.000295632,0.0005124728,0.0001816655,0.0002577082,0.001724434],"category_scores_gemma":[0.00119771,0.0001475399,0.0001602995,0.0004492439,0.0002862492,0.0002559561,0.0003072456,0.0002417188,0.0002945522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003715037,"about_ca_system_score_gemma":0.0001261283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003716343,"about_ca_topic_score_gemma":0.007572312,"domain_scores_codex":[0.9998214,0.00004654578,0.0000125537,0.00003761216,0.00002374824,0.00005827835],"domain_scores_gemma":[0.9991133,0.0002500792,0.0002728982,0.00005087537,0.00007490322,0.0002380004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003378105,0.00007484874,0.9957603,0.000006557741,0.00006833279,0.00007839108,0.0002342549,0.00006983872,0.0009590983,0.00003475655,0.00007868235,0.002297186],"study_design_scores_gemma":[0.000002148056,0.000045698,0.999607,0.000001143002,0.000005273028,0.00006040034,0.00009506549,0.00007648458,0.00002541379,0.00001709808,0.00006279377,0.000001363987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990878,0.0001732572,0.00003700568,0.00001307149,0.000002220025,0.000002894396,0.0002012733,0.000001931849,0.0004804364],"genre_scores_gemma":[0.9994222,0.00003852112,0.0000301823,0.000009669134,0.000003763662,0.000003594594,0.0002289703,0.000001435506,0.000261653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003716343,"threshold_uncertainty_score":0.007389426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01775731050498643,"score_gpt":0.2607116110746386,"score_spread":0.2429543005696522,"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."}}