{"id":"W2056557427","doi":"10.3168/jds.2012-5521","title":"Adjusting the weaning age of calves fed by automated feeders according to individual intakes of solid feed","year":2012,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Starter; Weaning; Hay; Animal science; Factorial experiment; Biology; Alfalfa hay; Body weight; Food science; Mathematics; Rumen; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001851224,0.0001285106,0.0003249715,0.0001978334,0.0003774166,0.00004209457,0.0006763137,0.00003468261,0.00001336049],"category_scores_gemma":[0.0005903275,0.00008356325,0.0001060428,0.0006191013,0.0004625716,0.0007275127,0.0003004242,0.000208961,0.000002133124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005683413,"about_ca_system_score_gemma":0.0000802169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007633623,"about_ca_topic_score_gemma":0.0000018267,"domain_scores_codex":[0.9981359,0.0000642287,0.0005911157,0.000117326,0.0007102062,0.0003812343],"domain_scores_gemma":[0.9987224,0.0001631218,0.0006172071,0.0001319624,0.000228688,0.0001365743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000113293,0.00006546377,0.1311805,0.00002019829,0.00003502563,0.00001137164,0.009274945,0.00001611746,0.8564962,0.00003025768,0.00100775,0.001748918],"study_design_scores_gemma":[0.0002639411,0.0009143002,0.9422839,0.0002019614,0.00008710146,0.0001618057,0.04360515,0.00006233509,0.01220115,0.000008472096,0.00007643778,0.0001334102],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983779,0.0003207969,0.0001674894,0.0001563305,0.0003604039,0.00008170512,0.00002209234,0.00002365981,0.000489664],"genre_scores_gemma":[0.9987047,0.000006295647,0.001131309,0.00005716017,0.00008058433,0.000001069939,6.031558e-7,0.000008955387,0.000009303367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8442951,"threshold_uncertainty_score":0.340761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0790746280043733,"score_gpt":0.3677963245376438,"score_spread":0.2887216965332705,"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."}}