{"id":"W3049064920","doi":"10.1111/1541-4337.12610","title":"A review of research on plant‐based meat alternatives: Driving forces, history, manufacturing, and consumer attitudes","year":2020,"lang":"en","type":"review","venue":"Comprehensive Reviews in Food Science and Food Safety","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":568,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; China Scholarship Council","keywords":"Quality (philosophy); Six Sigma; Production (economics); Business; Marketing; Biochemical engineering; Computer science; Engineering; Economics","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002329833,0.0005970996,0.00230205,0.0002258955,0.0002867508,0.00003462153,0.0008921017,0.0001625978,0.000162024],"category_scores_gemma":[0.0005879723,0.0003988736,0.0002625325,0.0008127657,0.003578253,0.0003333554,0.001034618,0.0008938928,0.00004472219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001655761,"about_ca_system_score_gemma":0.0001854809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003556464,"about_ca_topic_score_gemma":0.00005653845,"domain_scores_codex":[0.9949636,0.0009242846,0.001102834,0.001292909,0.00106507,0.0006513456],"domain_scores_gemma":[0.9977687,0.0006280654,0.0005455403,0.0006293692,0.00004416883,0.0003841356],"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":[0.00001794625,0.0001772077,0.0002363253,0.1302334,0.00005317608,0.00001609303,0.0003485953,0.000004781993,0.000008451049,0.000160975,0.003516131,0.8652269],"study_design_scores_gemma":[0.0001597724,0.0007366833,0.0008947505,0.083089,0.00007624855,0.00002951798,0.00007059271,0.000005643798,0.00001115769,0.000027904,0.9145232,0.0003754974],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001945797,0.9953734,0.000006289921,0.0001348398,0.0000948303,0.00287225,0.00004885604,0.00001423165,0.00126074],"genre_scores_gemma":[0.001109159,0.9979857,0.0001473788,0.0005570758,0.00002922518,0.0001085882,0.00001811427,0.00002164779,0.00002309231],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9110071,"threshold_uncertainty_score":0.9998463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.141353773437599,"score_gpt":0.3795816230540141,"score_spread":0.2382278496164151,"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."}}