{"id":"W2466023166","doi":"10.3390/jimaging2030021","title":"Assessing Consistency in Radiated Thermal Output of Beef Steers by Infrared Thermography","year":2016,"lang":"en","type":"article","venue":"Journal of Imaging","topic":"Effects of Environmental Stressors on Livestock","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Calgary; Agriculture and Agri-Food Canada; Agriculture Food and Rural Development","funders":"","keywords":"Thermography; Residual feed intake; Consistency (knowledge bases); Residual; Thermal; Infrared; Measure (data warehouse); Biological system; Computer science; Environmental science; Acoustics; Materials science; Mathematics; Biology; Feed conversion ratio; Optics; Physics; Thermodynamics; Body weight; Artificial intelligence; Algorithm; Data mining; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003252384,0.00009890627,0.000207488,0.00003701127,0.00004054829,0.00003363805,0.0002065627,0.00003246171,0.00008924267],"category_scores_gemma":[0.0000690706,0.00003227384,0.0001208925,0.0001534383,0.0001368325,0.0005634446,0.00003336686,0.000104692,0.000001525335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000350729,"about_ca_system_score_gemma":0.000006693126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004094799,"about_ca_topic_score_gemma":0.000003759571,"domain_scores_codex":[0.9990031,0.0001246756,0.0003772333,0.00009921345,0.0002181687,0.0001776228],"domain_scores_gemma":[0.9991308,0.0003136797,0.0004202342,0.00003429353,0.00003121084,0.0000697627],"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":[0.00001626391,0.00005556872,0.251483,0.000002022751,0.00001076435,0.000008702471,0.0000270121,0.000002136426,0.6523958,0.000002183847,0.0001548854,0.09584171],"study_design_scores_gemma":[0.0005194632,0.0001483383,0.972653,0.0002330775,0.00001199433,0.00001425381,0.0003902729,0.000008820209,0.02540001,0.0001189583,0.0003961484,0.0001056096],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969972,0.0009502624,0.000008005592,0.0009287262,0.00006358227,0.00006292206,0.000009658364,0.000005656716,0.0009739362],"genre_scores_gemma":[0.9996455,0.00004971137,0.0001462276,0.0000832052,0.00004377017,7.275821e-7,0.000001063633,0.000001271472,0.00002847081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7211701,"threshold_uncertainty_score":0.1316089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009563986751975357,"score_gpt":0.2184664683662834,"score_spread":0.208902481614308,"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."}}