{"id":"W4407572911","doi":"10.37766/inplasy2025.2.0077","title":"Exploring veterinary social work: Implications and pathways for Canadian practice and research","year":2025,"lang":"en","type":"report","venue":"","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Veterinary medicine; Data science; Medicine; Computer science; Engineering","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":[0.01419694,0.0004460987,0.0005686981,0.003938247,0.01929251,0.01071837,0.00249727,0.002476676,0.01648531],"category_scores_gemma":[0.02287812,0.0004303827,0.0004078829,0.008187588,0.01091182,0.003533261,0.008387387,0.003240032,0.0005309071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08894201,"about_ca_system_score_gemma":0.3408913,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9747348,"about_ca_topic_score_gemma":0.9908003,"domain_scores_codex":[0.9886464,0.004834643,0.0002944743,0.0004951134,0.001919541,0.003809872],"domain_scores_gemma":[0.9556049,0.01684581,0.002050567,0.0008905202,0.01093196,0.01367631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000267634,0.0005105865,0.2822629,0.002155049,0.00009670181,0.001065635,0.217057,0.000910779,0.001513421,0.1589887,0.07745386,0.2577177],"study_design_scores_gemma":[0.0000279314,0.0000897922,0.1509627,0.002369253,0.00005396096,0.0001088065,0.6846724,0.0004335412,0.0005379503,0.02678668,0.133853,0.0001040379],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.2721048,0.02414127,0.003961792,0.4331091,0.001028199,0.0005224624,0.002441077,0.0001311663,0.2625602],"genre_scores_gemma":[0.9206907,0.01819617,0.00765049,0.01513723,0.0001830427,0.0002554933,0.000590687,0.00005673464,0.0372395],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08894201,"threshold_uncertainty_score":0.6453224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4792804141177355,"score_gpt":0.5120017933689676,"score_spread":0.03272137925123203,"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."}}