{"id":"W2136674584","doi":"10.1002/jsfa.7482","title":"Modification of gelatin–<scp>DNA</scp> interaction for optimised <scp>DNA</scp> extraction from gelatin and gelatin capsule","year":2015,"lang":"en","type":"article","venue":"Journal of the Science of Food and Agriculture","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Gelatin; DNA; DNA extraction; Chromatography; Extraction (chemistry); Lysis; Chemistry; Polymerase chain reaction; Biochemistry; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005776632,0.0006214485,0.0002858189,0.0003212007,0.0001895829,0.0003424338,0.0003547708,0.0006037191,0.00294383],"category_scores_gemma":[0.001169985,0.0002932998,0.0003486834,0.0002957518,0.0003814138,0.0003401622,0.0002906914,0.0005788043,0.001273831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002535054,"about_ca_system_score_gemma":0.0002820733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003550094,"about_ca_topic_score_gemma":0.0006877309,"domain_scores_codex":[0.9994285,0.0001200428,0.00005763026,0.000144256,0.0001757905,0.00007377985],"domain_scores_gemma":[0.9992307,0.0002388306,0.0002508788,0.00006571099,0.0001246257,0.00008931983],"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":[0.00002484063,0.00000963066,0.00008384913,0.00005544938,0.000004745495,0.00003722749,0.00001213662,0.00005530188,0.9985185,0.00002248547,0.00003425455,0.001141577],"study_design_scores_gemma":[0.000004834477,0.0001090642,0.001417368,0.000009717101,0.000008623796,0.0001222667,0.00001047206,0.0004862263,0.9956293,0.00001406769,0.002180293,0.000007717636],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9141383,0.002141678,0.07764304,0.0003636703,0.0001378953,0.0003761033,0.0005292735,0.0005218643,0.004148246],"genre_scores_gemma":[0.9220979,0.001164899,0.07062067,0.0002751177,0.00002718698,0.0004117406,0.001056538,0.0001838286,0.00416221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00294383,"threshold_uncertainty_score":0.009848118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02994629847168603,"score_gpt":0.2777151128495604,"score_spread":0.2477688143778744,"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."}}