{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001775664,0.0005934853,0.0001384384,0.0006981851,0.002441587,0.002968937,0.0003418389,0.0009670458,0.2723076],"category_scores_gemma":[0.0005118133,0.0001872937,0.0001917128,0.000813169,0.000517898,0.002369475,0.0009046157,0.0007952557,0.1143995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001232174,"about_ca_system_score_gemma":0.0007698705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01352486,"about_ca_topic_score_gemma":0.0467135,"domain_scores_codex":[0.9998342,0.00001224492,0.000003537647,0.00002542294,0.00007606952,0.00004854767],"domain_scores_gemma":[0.9997874,0.00001146878,0.000008874749,0.00001971444,0.00007826627,0.00009433766],"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":[0.00002395375,0.00002230466,0.0002640332,0.00006450641,0.000001574557,0.00009356645,0.000255858,0.00002244468,0.001083888,0.003992817,0.9440956,0.05007955],"study_design_scores_gemma":[0.000002792789,0.000008130074,0.0003254318,0.00003170846,0.000001065785,0.00008482734,0.000355668,0.00003030884,0.0004538463,0.0005319481,0.9981704,0.000003857255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00476872,0.002649861,0.001456371,0.01535076,0.003066376,0.00004463214,0.0007036855,0.001848729,0.970111],"genre_scores_gemma":[0.009149581,0.001764143,0.001011075,0.001728707,0.0003475009,0.00001370646,0.0004615442,0.0005264643,0.9849974],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7276924,"threshold_uncertainty_score":0.9109597,"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."}}