{"id":"W1980392992","doi":"10.1016/j.meatsci.2013.06.003","title":"Use of infrared ocular thermography to assess physiological conditions of pigs prior to slaughter and predict pork quality variation","year":2013,"lang":"en","type":"article","venue":"Meat Science","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":83,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; Université Laval","funders":"Agriculture and Agri-Food Canada","keywords":"Thermography; Longissimus dorsi; Animal science; Longissimus muscle; Biology; Chemistry; Infrared","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":[0.0003462718,0.000290126,0.0003609058,0.0003550761,0.0001647671,0.0003996885,0.0001264468,0.0003035236,0.0002859688],"category_scores_gemma":[0.0006499472,0.000173921,0.0002227753,0.0003951128,0.0002412556,0.0002003817,0.0001501817,0.0003705198,0.00009048534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002139826,"about_ca_system_score_gemma":0.0002406447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003618744,"about_ca_topic_score_gemma":0.008903975,"domain_scores_codex":[0.9998338,0.0000459643,0.000007981283,0.00005247412,0.00003801344,0.00002171384],"domain_scores_gemma":[0.99963,0.0001635844,0.00008772765,0.0000265826,0.0000568826,0.00003527912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00164946,0.0002574092,0.7964645,0.00006084445,0.0001650028,0.00005954421,0.000249069,0.000717456,0.1735524,0.00003220156,0.0001063807,0.02668584],"study_design_scores_gemma":[0.00001798056,0.0009881272,0.9842295,0.000005856934,0.00008927143,0.0001501873,0.0001259911,0.003574688,0.01062681,0.0000272258,0.0001513543,0.00001294406],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970489,0.0001277978,0.002297616,0.00001039697,0.000008295402,0.00001385679,0.00008662104,0.00001142903,0.000395058],"genre_scores_gemma":[0.9965706,0.0001558753,0.002691842,0.00002884914,0.000007115537,0.00002181426,0.0001436688,0.000008133138,0.0003720632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003618744,"threshold_uncertainty_score":0.007195354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1115971841932695,"score_gpt":0.3051941581690057,"score_spread":0.1935969739757362,"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."}}