{"id":"W4403129786","doi":"10.1016/j.anopes.2024.100079","title":"Method: Body composition assessment of sows using dual-energy X-ray absorptiometry","year":2024,"lang":"en","type":"article","venue":"Animal - Open Space","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Mitacs","keywords":"Dual-energy X-ray absorptiometry; Composition (language); X-ray; Dual energy; Dual (grammatical number); Materials science; Nuclear medicine; Medicine; Physics; Internal medicine; Bone mineral; Optics; Art; Osteoporosis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009692022,0.0002023183,0.0004488855,0.0003791216,0.00008506107,0.0001742499,0.0001845901,0.000114219,0.0003800004],"category_scores_gemma":[0.00001091458,0.0001893093,0.0001299113,0.0006932106,0.00005635315,0.0003895305,0.0002270341,0.0002354104,0.00001269075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002941269,"about_ca_system_score_gemma":0.0002449744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006601069,"about_ca_topic_score_gemma":0.000006857078,"domain_scores_codex":[0.9982468,0.0001783159,0.0003823122,0.0004101722,0.0005544675,0.0002278609],"domain_scores_gemma":[0.9991291,0.00008722335,0.0001229753,0.0003363544,0.000206327,0.0001180609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001197491,0.0002399735,0.0006576384,0.0001621916,0.0001687833,0.00008662185,0.00004661302,0.00002195043,0.9646066,0.02893773,0.004270117,0.0006820404],"study_design_scores_gemma":[0.001688976,0.003107229,0.03763821,0.002772167,0.0009822075,0.0004486401,0.0002231762,0.08916525,0.8328055,0.0009654565,0.02947879,0.0007244206],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3172815,0.0009595668,0.627273,0.004277833,0.000311143,0.001480721,0.00004810817,0.0005992681,0.04776881],"genre_scores_gemma":[0.7218878,0.00002615106,0.27725,0.0002478042,0.0001152075,0.00002303334,0.00004240089,0.00003705749,0.0003705375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4046063,"threshold_uncertainty_score":0.7719811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06399282641608059,"score_gpt":0.4248098224354061,"score_spread":0.3608169960193255,"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."}}