{"id":"W3207540549","doi":"10.1080/10888705.2021.1980727","title":"The Who, Where, and What of Publications in the <i>Journal of Applied Animal Welfare Science</i> from 2009 to 2019: A Bibliometric Analysis","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Animal Welfare Science","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Library science; Context (archaeology); Bibliometrics; Welfare; Salient; Content analysis; Animal welfare; Social science; Sociology; Political science; History; Computer science; Law; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00317457,0.0001817833,0.0004139202,0.006926203,0.0007254649,0.0007590211,0.001412708,0.00006528474,0.00004290351],"category_scores_gemma":[0.0005442046,0.0001116605,0.0001550646,0.04524576,0.0009954448,0.0001689621,0.0004269087,0.0003086355,0.000001594748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006963679,"about_ca_system_score_gemma":0.0004754129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002976139,"about_ca_topic_score_gemma":0.0001840512,"domain_scores_codex":[0.9971103,0.00005488174,0.0008716997,0.0003560083,0.001240183,0.00036689],"domain_scores_gemma":[0.9962553,0.0001151345,0.001101496,0.0003963331,0.001938711,0.0001929953],"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":[0.0006349453,0.0001459721,0.001547897,0.000007359852,0.0001975807,0.000006708709,0.0009077833,0.0002114868,0.9870171,0.003005198,0.001607135,0.004710857],"study_design_scores_gemma":[0.0009314031,0.001284993,0.7337856,0.00005382293,0.0003941184,0.0001833992,0.04187601,0.0001060515,0.1647593,0.0001499684,0.05612364,0.0003517891],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885026,0.003567622,0.00008899636,0.005813069,0.0001066292,0.0001349196,0.00001938128,0.000002186893,0.001764587],"genre_scores_gemma":[0.9965428,0.002245738,0.0007904823,0.0002613764,0.0001289304,0.000004656304,0.000001603043,0.000008096359,0.00001634479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8222578,"threshold_uncertainty_score":0.975048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01334491618168613,"score_gpt":0.3170096083078018,"score_spread":0.3036646921261156,"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."}}