{"id":"W2056237111","doi":"10.4141/cjas08037","title":"Developmental patterns in hormone and lipid metabolism of growing Jinhua and Landrace gilts","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Animal Science","topic":"Pharmacological Effects and Assays","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breed; Lipid metabolism; Endocrinology; Internal medicine; Triiodothyronine; Leptin; Hormone; Biology; Purebred; Fatty acid; Fatty acid synthase; Insulin; Metabolism; Insulin-like growth factor; Chemistry; Growth factor; Animal science; Obesity; Biochemistry; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004478946,0.00006478332,0.0001502016,0.00004726312,0.0001910716,0.0000295394,0.0001778957,0.00002697545,0.00003475347],"category_scores_gemma":[0.00008422336,0.0000260575,0.0000200967,0.0003134769,0.0003256499,0.0003727732,0.00003172545,0.0001054558,4.315381e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002990375,"about_ca_system_score_gemma":0.0001208577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002890379,"about_ca_topic_score_gemma":0.002992491,"domain_scores_codex":[0.9992984,0.00002691812,0.0001739048,0.0001153991,0.0001493729,0.0002360354],"domain_scores_gemma":[0.9993857,0.00006115909,0.00008099414,0.00000817053,0.00004995886,0.0004140047],"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":[0.00001609034,0.000008175886,0.06117416,0.000001581725,0.000001644855,0.00009082485,0.0001783974,5.896008e-7,0.9309928,0.0000668152,0.00002544495,0.0074435],"study_design_scores_gemma":[0.0001553287,0.000278691,0.9923841,0.0000180039,0.00000269465,0.0002527191,0.0001860696,0.00002043668,0.005460059,0.00003216917,0.001142879,0.00006681216],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986051,0.0005653254,6.023848e-7,0.0005246301,0.00003579618,0.00003992454,0.000008605401,0.000001295982,0.0002187708],"genre_scores_gemma":[0.9995166,0.0001605219,0.0001053703,0.0001535678,0.00005894992,3.39225e-7,2.62195e-7,3.066879e-7,0.000004071327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.93121,"threshold_uncertainty_score":0.4369408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0226119799191392,"score_gpt":0.219180388800298,"score_spread":0.1965684088811588,"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."}}