{"id":"W7009976833","doi":"","title":"Fatty acid profile of canine colostrum, milk and industrial milks","year":2019,"lang":"en","type":"other","venue":"Prodinra (INRA Bordeaux-Aquitaine)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breed; Kitten; CATS; Semen; Reproduction; Pregnancy; Labrador Retriever; Body weight","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":[0.0001289439,0.0002343053,0.0001298623,0.0008399556,0.0001993108,0.0002520214,0.0001165875,0.0001617173,0.003163326],"category_scores_gemma":[0.0003763855,0.00005965349,0.00009647501,0.000500484,0.0000915681,0.0001148709,0.0001994838,0.0001555132,0.0005736251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002024861,"about_ca_system_score_gemma":0.000172365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003714594,"about_ca_topic_score_gemma":0.003801819,"domain_scores_codex":[0.9999133,0.00001716886,0.000007931299,0.00001604458,0.00002135653,0.00002411253],"domain_scores_gemma":[0.9998838,0.00001731935,0.00001797637,0.000004912009,0.00004585167,0.00003005392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01033767,0.0003834717,0.5041827,0.0003965503,0.0002315995,0.002389578,0.001154133,0.0002229173,0.3652721,0.0004338294,0.002324394,0.1126712],"study_design_scores_gemma":[0.00002889323,0.001130005,0.95139,0.0000845856,0.00008267583,0.0008948196,0.0009591501,0.0004230466,0.03466094,0.00009768387,0.01023151,0.00001667977],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913051,0.003099155,0.0001870804,0.0000763786,0.00004427479,0.00002060984,0.002007567,0.00001570328,0.003244069],"genre_scores_gemma":[0.989507,0.00137078,0.0004187832,0.0001136562,0.00001859251,0.00002131408,0.003022431,0.00001265481,0.005514835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003714594,"threshold_uncertainty_score":0.01058245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02504891650188814,"score_gpt":0.2570675875888193,"score_spread":0.2320186710869311,"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."}}