{"id":"W4384697717","doi":"10.1177/00220094231186089","title":"Food Waste and Survival in Times of the Soviet Famines in Ukraine","year":2023,"lang":"en","type":"article","venue":"Journal of Contemporary History","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Food waste; Agriculture; State (computer science); Rationing; Food systems; Food chain; Economy; Agricultural economics; Economic growth; Geography; Natural resource economics; Food security; Economics; Ecology; Archaeology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000747093,0.000145789,0.0003071668,0.0009678718,0.003841775,0.002450803,0.0002945522,0.0005326325,0.0006075366],"category_scores_gemma":[0.001119248,0.00014222,0.0001337948,0.001311616,0.004098617,0.001453134,0.003812126,0.0007350078,0.00005185466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003748003,"about_ca_system_score_gemma":0.001628345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02997795,"about_ca_topic_score_gemma":0.03911232,"domain_scores_codex":[0.9996254,0.0001266355,0.00002661642,0.00004308208,0.00003804378,0.0001402174],"domain_scores_gemma":[0.9996681,0.00007884349,0.0001492626,0.00001469022,0.00004175638,0.0000472735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002613042,0.00006373,0.2049421,0.0002481549,0.0000576678,0.003042143,0.7086594,0.0009515092,0.001892069,0.02923016,0.00110155,0.04955021],"study_design_scores_gemma":[0.000004279493,0.0001360656,0.5662419,0.0003763573,0.00002397902,0.001141662,0.3907737,0.0003297347,0.0007996606,0.006402286,0.03372573,0.00004466058],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996363,0.001356402,0.0001002556,0.0004448675,0.00001270079,0.000001034572,0.00003259496,0.000002331718,0.001686799],"genre_scores_gemma":[0.999169,0.0005226958,0.0000278501,0.00002938865,0.000005440679,0.000001138099,0.00002028557,0.000001212004,0.0002229633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02997795,"threshold_uncertainty_score":0.05960691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03405379678839904,"score_gpt":0.2171689670088793,"score_spread":0.1831151702204803,"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."}}