{"id":"W7132134489","doi":"","title":"Enhancing animal-assisted therapy: Leveraging insights into animal-induced emotions for improved patient outcomes","year":2024,"lang":"en","type":"article","venue":"Lithuanian University of Health Sciences","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministero della Salute","keywords":"Likert scale; Animal species; Vietnamese; Animal welfare; Animal health; Microsoft excel; Multivariate analysis","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":[0.001747501,0.000319091,0.0002093588,0.0004035438,0.0002453538,0.0009917018,0.0003684716,0.000462559,0.00573534],"category_scores_gemma":[0.002400953,0.00007421773,0.0004211136,0.0001423847,0.0005863654,0.0007221317,0.001303696,0.0006254811,0.0008592022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002817594,"about_ca_system_score_gemma":0.0003603952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001342312,"about_ca_topic_score_gemma":0.0005141899,"domain_scores_codex":[0.9992915,0.0004294262,0.00002266493,0.00006484133,0.0001255986,0.00006602852],"domain_scores_gemma":[0.9993927,0.000335262,0.00008355407,0.00006025094,0.00005236705,0.00007584706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001214567,0.002873217,0.01745922,0.003158965,0.0002121644,0.0009698113,0.02289699,0.001995258,0.08813818,0.005855429,0.00862788,0.8465984],"study_design_scores_gemma":[0.001039201,0.01995035,0.3374692,0.005452914,0.001393971,0.01204775,0.04912472,0.02317066,0.0913463,0.03528545,0.4230509,0.0006686993],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8590806,0.004593892,0.08266623,0.003966576,0.0003343886,0.0007699062,0.0003056549,0.0005900925,0.0476927],"genre_scores_gemma":[0.9285805,0.002867562,0.06142892,0.0007998323,0.00009899092,0.0004667356,0.0001295784,0.00006471491,0.005563083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00573534,"threshold_uncertainty_score":0.01918662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0423639958137129,"score_gpt":0.3427264682433112,"score_spread":0.3003624724295983,"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."}}