{"id":"W6988087550","doi":"","title":"450 - What's Making Our Groceries So Expensive? w/ The Food Professor","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Liberian dollar; Government (linguistics); Grocery store; Inflation (cosmology); Food processing; Food industry","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":[0.0006671386,0.0007585876,0.000457402,0.0007497101,0.004008309,0.00625548,0.0007294099,0.003023893,0.4590967],"category_scores_gemma":[0.002785613,0.0003538823,0.0005175526,0.001014551,0.001036657,0.005319383,0.002192738,0.003660379,0.2820423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002922335,"about_ca_system_score_gemma":0.002461467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01452315,"about_ca_topic_score_gemma":0.04755589,"domain_scores_codex":[0.9990981,0.0001084258,0.00002243972,0.0001378091,0.0003909567,0.000242264],"domain_scores_gemma":[0.9984618,0.00007259061,0.00005843982,0.00005372681,0.0005159633,0.0008374132],"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":[0.000005517997,0.00000990214,0.0001091631,0.000019536,5.83239e-7,0.00001463715,0.00005106369,0.000002337791,0.00005357679,0.0005894431,0.989001,0.01014327],"study_design_scores_gemma":[0.000001824647,0.000006938373,0.0003961029,0.00003841307,0.000001158718,0.00002953169,0.0003501505,0.000005527545,0.00004985425,0.0002210237,0.9988959,0.000003507642],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003055454,0.01084155,0.0006390023,0.2295347,0.02966659,0.00008998765,0.002337752,0.001361409,0.7224736],"genre_scores_gemma":[0.005866566,0.004973267,0.000378484,0.02956465,0.003319865,0.00003392102,0.0007982685,0.0005918818,0.9544731],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4590967,"threshold_uncertainty_score":0.771533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01417673345348978,"score_gpt":0.2251944258813249,"score_spread":0.2110176924278351,"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."}}