{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000326984,0.0003105116,0.0002788226,0.00033352,0.0002114017,0.0004374199,0.00022894,0.0003533355,0.001790632],"category_scores_gemma":[0.0001914565,0.000166991,0.0003620329,0.0001808195,0.0003324061,0.0002748205,0.0002188447,0.0003807064,0.000213023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004839545,"about_ca_system_score_gemma":0.0001697089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001223018,"about_ca_topic_score_gemma":0.002983144,"domain_scores_codex":[0.9995508,0.00008515034,0.00002698543,0.0001186558,0.0001227374,0.00009578779],"domain_scores_gemma":[0.9996898,0.0000381801,0.0001411543,0.00001620797,0.0000320632,0.000082659],"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":[0.002480415,0.0004361686,0.006626519,0.0002328937,0.00002954706,0.0002693711,0.0001048298,0.0001197865,0.9834276,0.0000607053,0.00006357761,0.006148482],"study_design_scores_gemma":[0.0001283588,0.03078723,0.1294939,0.00005844353,0.0002093626,0.002415409,0.0005586872,0.0005413505,0.8294327,0.00005091598,0.006297858,0.00002574367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982552,0.000642459,0.0004009053,0.00003078349,0.00001183026,0.00002918155,0.00007766422,0.00001499982,0.0005369795],"genre_scores_gemma":[0.9954404,0.0005062296,0.001911664,0.0000726679,0.0000103251,0.00002911525,0.0003097201,0.0000109378,0.001708869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001790632,"threshold_uncertainty_score":0.005990326,"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."}}