{"id":"W4402541667","doi":"10.1093/jas/skae234.774","title":"PSVII-23 Discriminating meat from different Canadian cattle feeding systems by visible and near-infrared spectroscopy","year":2024,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Spectroscopy; Infrared; Infrared spectroscopy; Animal science; Biology; Chemistry; Optics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004771006,0.0005514341,0.000299859,0.0007531855,0.000541726,0.0007162043,0.0001931321,0.0002674747,0.001435218],"category_scores_gemma":[0.0002794658,0.0001693284,0.0003346188,0.0007061919,0.0003132262,0.000136835,0.0002131699,0.0002393959,0.0002980372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068605,"about_ca_system_score_gemma":0.00115388,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2461105,"about_ca_topic_score_gemma":0.4512563,"domain_scores_codex":[0.9997366,0.0000201672,0.000008487132,0.00006681347,0.0001074263,0.00006056928],"domain_scores_gemma":[0.9998304,0.00002064719,0.00002953311,0.000005449871,0.00008821181,0.00002580025],"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":[0.001002431,0.00004929592,0.0557486,0.0002183153,0.0001295432,0.00009376712,0.0002415213,0.0005141684,0.9213874,0.00005874594,0.0003336164,0.02022269],"study_design_scores_gemma":[0.00001863369,0.0004447141,0.8499466,0.00003835739,0.0003064659,0.0003171863,0.0007123324,0.004972026,0.139634,0.00006985616,0.0034899,0.00004991014],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947047,0.0006539948,0.002296871,0.00002174144,0.00001070519,0.00002260237,0.0009451382,0.00005305591,0.001291144],"genre_scores_gemma":[0.9830068,0.0006714163,0.01069885,0.00007921703,0.000005363675,0.00003108581,0.002384441,0.00004525521,0.00307752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7538895,"threshold_uncertainty_score":0.489356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573926364187002,"score_gpt":0.2802060760810202,"score_spread":0.2644668124391502,"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."}}