{"id":"W4367598779","doi":"10.3390/ani13091523","title":"Recognizing Zooeyia to Promote Companion Animal Welfare in Urban Bangladesh","year":2023,"lang":"en","type":"article","venue":"Animals","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Animal welfare; Companion animal; Livestock; Welfare; Thematic analysis; Population; Animal health; Qualitative research; Socioeconomics; Public relations; Economic growth; Political science; Sociology; Medicine; Veterinary medicine; Environmental health; Geography; Social science; Law; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001459996,0.0001553524,0.0001666547,0.0002734869,0.002992383,0.001418209,0.0003950676,0.0006499664,0.002666963],"category_scores_gemma":[0.002076254,0.0001252888,0.000084402,0.0003679181,0.003141471,0.001163815,0.002419813,0.0006982224,0.0001173453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001706534,"about_ca_system_score_gemma":0.001774043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009926067,"about_ca_topic_score_gemma":0.0284166,"domain_scores_codex":[0.9991335,0.0005766375,0.00002753569,0.00004917135,0.00007682731,0.0001363095],"domain_scores_gemma":[0.9989058,0.0003600154,0.0003364622,0.0000387666,0.0001077639,0.0002511449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00005066842,0.0000855636,0.05310025,0.0004404701,0.00001043156,0.003450924,0.9034915,0.00004239557,0.007123049,0.007210048,0.001374865,0.02361979],"study_design_scores_gemma":[0.000003050787,0.0000817426,0.03250936,0.0001543947,0.000006121277,0.0004525758,0.9453434,0.00003272426,0.0003733635,0.0007660557,0.02026521,0.00001205119],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870136,0.0006357732,0.0004544633,0.002804712,0.00002987185,0.00002702102,0.00002157422,0.00000399756,0.009008913],"genre_scores_gemma":[0.9977459,0.0006098524,0.0002876053,0.0002304705,0.000007012814,0.00001402762,0.000007793745,0.0000011612,0.001096004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009926067,"threshold_uncertainty_score":0.01973659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03346084667798211,"score_gpt":0.3440602015153724,"score_spread":0.3105993548373903,"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."}}