{"id":"W1983066033","doi":"10.1080/10408398.2013.812610","title":"Green Alternatives to Nitrates and Nitrites in Meat-based Products–A Review","year":2015,"lang":"en","type":"review","venue":"Critical Reviews in Food Science and Nutrition","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":162,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Université Laval; GDG Environnement; Institut National de la Recherche Scientifique","funders":"","keywords":"Preservative; Nitrite; Food science; Organoleptic; Chemistry; Food Preservatives; Nitroso Compounds; Food additive; Food products; Food preservation; Nitrate; Organic chemistry","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":[0.0003808046,0.0008520932,0.0009822475,0.002748062,0.0003325862,0.0009521722,0.0006491439,0.000942185,0.006019238],"category_scores_gemma":[0.0004786021,0.0002798948,0.0006595191,0.001937441,0.0003269466,0.001267038,0.0005346707,0.001112225,0.001731095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004212045,"about_ca_system_score_gemma":0.0007656909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00103308,"about_ca_topic_score_gemma":0.002037568,"domain_scores_codex":[0.9997794,0.000034225,0.00002873269,0.00004254077,0.00009490024,0.00002024182],"domain_scores_gemma":[0.999741,0.0001173805,0.00004888046,0.000007530921,0.00006742898,0.00001776304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007895755,0.0001932775,0.0002295777,0.0642598,0.0001331332,0.0003440964,0.0001684429,0.0005304987,0.01078106,0.006448253,0.02300319,0.8938297],"study_design_scores_gemma":[0.000006161038,0.0001334646,0.000542875,0.004426344,0.000102507,0.0007282943,0.00008445152,0.00007934393,0.001704443,0.001365965,0.9908087,0.00001744583],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000373104,0.9972141,0.0001959873,0.000153781,0.0001708506,0.000007702062,0.00003106042,0.000009298526,0.001844003],"genre_scores_gemma":[0.001645266,0.9967489,0.0003851796,0.0001133394,0.000078982,0.000006874602,0.00003930863,0.000002616394,0.0009794711],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006019238,"threshold_uncertainty_score":0.02013636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2431851215823105,"score_gpt":0.4112343452207025,"score_spread":0.168049223638392,"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."}}