{"id":"W7083895320","doi":"","title":"What's fresh at McDonald's? The beef in some burgers","year":2018,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Appeal; Quarter (Canadian coin); Beef cattle; Miami; Instant","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001884416,0.0009447486,0.0008864364,0.0007966501,0.00003279298,0.0001606799,0.001874317,0.0003106783,0.005648344],"category_scores_gemma":[0.00008418093,0.0007329339,0.0004034281,0.0001764423,0.001076894,0.0002755835,0.001052608,0.001101832,0.004095389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001432796,"about_ca_system_score_gemma":0.0000230745,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00152411,"about_ca_topic_score_gemma":0.03199507,"domain_scores_codex":[0.9968863,0.0001364493,0.0006665337,0.0008757687,0.0003958009,0.001039215],"domain_scores_gemma":[0.9981532,0.000360952,0.000232572,0.001072781,0.00001744318,0.0001630898],"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":[0.00006199904,0.00003864936,0.000223705,0.0001322184,0.0003438724,0.0001357101,0.001187813,0.0001422154,0.001688486,0.001579679,0.993467,0.0009986084],"study_design_scores_gemma":[0.0004711236,0.0001126687,0.0002379972,0.001953019,0.0000488301,0.00004007794,0.0003485261,0.00358092,0.002212781,0.00615764,0.9840084,0.0008280373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01571288,0.01187304,0.008980353,0.0005188388,0.008180115,0.001765525,0.0006156813,0.00382053,0.9485331],"genre_scores_gemma":[0.01851383,0.006022533,0.001907616,0.0002501954,0.0006349731,0.0001825589,0.0002612191,0.0009158539,0.9713112],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03047096,"threshold_uncertainty_score":0.9995122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121543314224121,"score_gpt":0.2294506112069643,"score_spread":0.2172962797845522,"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."}}