{"id":"W4381308421","doi":"10.1177/00236772231168328","title":"Supporting advancement of lab animal welfare and scientific integrity in developing countries: ACURET Cage Consortium (ACCON) Project","year":2023,"lang":"en","type":"article","venue":"Laboratory Animals","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"King's College London; Trent University; Nottingham Trent University","keywords":"Animal welfare; Sine qua non; Animal husbandry; Developing country; Business; Human welfare; Animal health; Work (physics); Welfare; Political science; Veterinary medicine; Economic growth; Medicine; Engineering; Biology; Agriculture","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.04227063,0.001142394,0.0005646585,0.001529715,0.002349286,0.005428568,0.004541417,0.003242622,0.04432662],"category_scores_gemma":[0.01876302,0.000501967,0.0009031571,0.0009696721,0.002583504,0.002790385,0.009876912,0.002881689,0.0122149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002290132,"about_ca_system_score_gemma":0.05265036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01129474,"about_ca_topic_score_gemma":0.009705401,"domain_scores_codex":[0.9858936,0.005563099,0.0005434189,0.001240874,0.00454661,0.002212428],"domain_scores_gemma":[0.9325448,0.004579772,0.003103901,0.006538085,0.02953311,0.02370035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001328431,0.0007396129,0.005696312,0.001067337,0.00009034289,0.001167127,0.001507136,0.0005593387,0.01693071,0.03103971,0.713834,0.2260399],"study_design_scores_gemma":[0.0001272911,0.0006039867,0.008034661,0.0006187894,0.00002812778,0.0006961046,0.000486885,0.0005692656,0.004350472,0.001460994,0.9829911,0.00003233853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06142617,0.02049038,0.1153407,0.2640509,0.03307234,0.01868386,0.03549237,0.01110249,0.4403407],"genre_scores_gemma":[0.1934747,0.01563706,0.276557,0.0735656,0.003938288,0.0109166,0.04201749,0.004527205,0.379366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04432662,"threshold_uncertainty_score":0.2235512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1191957106343254,"score_gpt":0.4218891665216071,"score_spread":0.3026934558872817,"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."}}