{"id":"W4383215334","doi":"10.1016/j.psj.2023.102914","title":"Research Note: Producing lean poultry meat composite gels with different carbohydrate-based breadcrumbs","year":2023,"lang":"en","type":"article","venue":"Poultry Science","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Chewiness; Food science; Chemistry; Yield (engineering); Composite number; Mathematics; Materials science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.00314071,0.0002398543,0.0002578502,0.0001010934,0.001615876,0.0003336006,0.001030418,0.00007794284,0.00009381385],"category_scores_gemma":[0.0002992825,0.00008523345,0.00006417862,0.00440838,0.0008763623,0.0003414431,0.0002673877,0.0004462568,0.0002289853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000808271,"about_ca_system_score_gemma":0.00009496279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008983311,"about_ca_topic_score_gemma":0.0002100716,"domain_scores_codex":[0.9955398,0.0002063539,0.0002784584,0.001155253,0.001591073,0.001229003],"domain_scores_gemma":[0.9984667,0.0004232444,0.00007915504,0.0002737803,0.0004216731,0.000335418],"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":[0.00005442348,0.00007949994,0.1844913,0.00001866701,0.000002393924,0.00001141062,0.0001757551,0.00005149017,0.8060611,0.000225977,0.0002230058,0.008604896],"study_design_scores_gemma":[0.000158374,0.0003570112,0.8431116,0.00009029994,0.000006337678,0.000005842001,0.00133384,0.0004201499,0.153193,0.0003171835,0.0006687029,0.0003376548],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917984,0.00003599824,0.000006577906,0.005573186,0.0001790631,0.0003799087,0.00002449941,0.0002811887,0.001721204],"genre_scores_gemma":[0.9984555,0.000009109344,0.00008935917,0.0001943369,0.0003618144,0.00002191784,0.00004116269,0.00000266756,0.0008241458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6586202,"threshold_uncertainty_score":0.9996839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09205527160800606,"score_gpt":0.3271470451919459,"score_spread":0.2350917735839399,"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."}}