{"id":"W2994331438","doi":"10.221751/rmc2016.039","title":"Use of Beef Collagen in Beef Hot Dogs","year":2017,"lang":"en","type":"article","venue":"Meat and Muscle Biology","topic":"Collagen: Extraction and Characterization","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ingredient; Food science; Chemistry; Lipid oxidation; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001313559,0.00006344834,0.0001440417,0.00004957923,0.0001161527,0.0000570825,0.0001052059,0.00008711697,0.0002971569],"category_scores_gemma":[0.00009361051,0.00005564227,0.00001755955,0.00002946779,0.0001205823,0.0001743331,0.00006678289,0.00002128717,0.00001649794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009264507,"about_ca_system_score_gemma":0.00001884232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005282061,"about_ca_topic_score_gemma":0.000770086,"domain_scores_codex":[0.9994715,0.00005026661,0.0001524983,0.00016567,0.00003684865,0.000123202],"domain_scores_gemma":[0.999568,0.00003324662,0.000122165,0.0002073667,0.00003463111,0.00003463276],"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":[0.00003864539,0.00002486204,0.02363374,0.000007063369,0.000001455365,0.000001967119,0.0001511987,4.109883e-7,0.9696109,0.0004635741,0.00006911602,0.005997082],"study_design_scores_gemma":[0.0003356328,0.00006435032,0.8596228,0.00001010169,0.000005289478,0.000002969148,0.00003027314,0.00003709319,0.1048235,0.00009354142,0.03488989,0.00008453059],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998582,0.00003077598,0.00004134662,0.0002097393,0.000422774,0.0001028559,0.00002660262,0.00001268334,0.0005712357],"genre_scores_gemma":[0.9991091,0.0001058614,0.000122927,0.00008048059,0.00005145649,0.000006337913,0.00001128244,0.000004351125,0.0005081356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8647874,"threshold_uncertainty_score":0.325366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04970845518487553,"score_gpt":0.2875909721692435,"score_spread":0.237882516984368,"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."}}