{"id":"W4385270582","doi":"10.1371/journal.pone.0288081","title":"Dog breeds and conformations in the UK in 2019: VetCompass canine demography and some consequent welfare implications","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Goddard Space Flight Center; Kennel Club Charitable Trust; Dogs Trust; Agria Djurförsäkring","keywords":"Purebred; Breed; Crossbreed; Veterinary medicine; Demography; Animal welfare; Labrador Retriever; Medicine; Animal health; Biology; Animal science; Surgery; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001028091,0.00006684524,0.0000935302,0.0001000153,0.00009442961,0.00002370869,0.00006343752,0.00003235671,0.000009957186],"category_scores_gemma":[0.00003704177,0.00005568815,0.00001505345,0.0001311548,0.00008306566,0.000006103568,0.00006912181,0.00007532827,0.000007134436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006862817,"about_ca_system_score_gemma":0.00001057859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001400938,"about_ca_topic_score_gemma":0.0008935085,"domain_scores_codex":[0.9995331,0.00002932294,0.0001459712,0.0001192707,0.00005820364,0.0001141899],"domain_scores_gemma":[0.9997456,0.00002805881,0.00003436307,0.0001278507,0.00004047452,0.00002364109],"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":[0.00006006134,0.0005767264,0.4511081,0.0001184531,0.0004862853,0.000009060657,0.002253211,0.00002199274,0.5199677,0.01065113,0.01439729,0.0003500837],"study_design_scores_gemma":[0.0005041936,0.0001141171,0.9888319,0.00003046156,0.00003265992,0.00001220434,0.001166796,0.00008798816,0.006082715,0.000356493,0.002646521,0.0001339701],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910655,0.0004842168,0.00000317833,0.007540771,0.000009775264,0.0001921256,0.00006753075,0.000009514281,0.0006274111],"genre_scores_gemma":[0.9985614,0.0006859333,0.00003633572,0.0004052976,0.00002437242,0.0001055011,0.00009660647,0.000004878359,0.00007968003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5377238,"threshold_uncertainty_score":0.2270897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04237466894537741,"score_gpt":0.3146905273733552,"score_spread":0.2723158584279778,"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."}}