{"id":"W6983336097","doi":"","title":"McDonald's tests fresh beef in another burger","year":2018,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Swap (finance); Beef cattle; Quarter (Canadian coin); Test (biology); Recipe","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008814655,0.0006933219,0.0002477742,0.001556984,0.002204832,0.002159367,0.0007041449,0.000950672,0.3818502],"category_scores_gemma":[0.002090214,0.0002425661,0.0002566411,0.0009188351,0.0006011253,0.001325139,0.001371587,0.0009248679,0.1355845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625742,"about_ca_system_score_gemma":0.002060043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02813497,"about_ca_topic_score_gemma":0.1006763,"domain_scores_codex":[0.9993649,0.00005534148,0.00002006522,0.00009363815,0.0003494912,0.0001165351],"domain_scores_gemma":[0.998253,0.000148638,0.00007546527,0.0001178045,0.000644756,0.000760276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005562573,0.0001056579,0.00166843,0.00003600215,0.000002248813,0.0001377011,0.0002117163,0.0000202549,0.0005839281,0.001444196,0.9479519,0.04778242],"study_design_scores_gemma":[0.00001367291,0.0000432298,0.003578729,0.00004184988,0.000002393658,0.0001359655,0.0004725038,0.00006247395,0.0006056508,0.0004950683,0.9945403,0.000008312963],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006269888,0.0006273365,0.0005709687,0.005989879,0.001114629,0.0001161644,0.00241378,0.001646977,0.9812503],"genre_scores_gemma":[0.007375136,0.0004065535,0.0005564826,0.0006717658,0.000138262,0.00002266317,0.0009673004,0.0004187207,0.9894432],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6181498,"threshold_uncertainty_score":0.8817156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093217294475194,"score_gpt":0.2365000055303039,"score_spread":0.2255678325855519,"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."}}