{"id":"W2624947012","doi":"10.1017/s1751731117001239","title":"The automated analysis of clustering behaviour of piglets from thermal images in response to immune challenge by vaccination","year":2017,"lang":"en","type":"article","venue":"animal","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Agriculture and Agri-Food Canada; Agriculture Food and Rural Development","funders":"Alberta Livestock and Meat Agency; University of Alberta; Zoetis","keywords":"Thermography; Vaccination; Air temperature; Spatial distribution; Cluster analysis; Environmental science; Ecology; Biology; Mathematics; Immunology; Statistics; Atmospheric sciences; Infrared; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003409362,0.0002296054,0.000361703,0.001197243,0.0001580037,0.0003003594,0.0002457087,0.0002205681,0.0006399381],"category_scores_gemma":[0.0007940616,0.0001570659,0.0002416677,0.0005492365,0.0001437847,0.0001636887,0.000177232,0.0001828149,0.0003080528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002081044,"about_ca_system_score_gemma":0.000165718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002053601,"about_ca_topic_score_gemma":0.004313965,"domain_scores_codex":[0.9997696,0.00005244068,0.00001273946,0.00007411589,0.00006054743,0.00003054817],"domain_scores_gemma":[0.9994691,0.0001463875,0.0001354532,0.00006401166,0.0001493722,0.00003566905],"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":[0.0008602433,0.0001752093,0.06960035,0.0002947848,0.0001103227,0.0002287211,0.0005970472,0.007220428,0.6646435,0.0001778876,0.0007525857,0.255339],"study_design_scores_gemma":[0.0000166347,0.0004056834,0.8197371,0.00002789052,0.00007861276,0.0008020107,0.0003024288,0.10954,0.06756041,0.000226189,0.001241455,0.00006157067],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.861976,0.0002129244,0.1346169,0.00002922495,0.00002322894,0.000126709,0.0005979961,0.001021513,0.001395502],"genre_scores_gemma":[0.9026493,0.0001198163,0.09545434,0.00002185553,0.00001619054,0.0001093231,0.000646124,0.00006329688,0.0009197929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002053601,"threshold_uncertainty_score":0.004083335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03785898445906084,"score_gpt":0.3554711445744644,"score_spread":0.3176121601154036,"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."}}