{"meta":{"query_hash":"8b7c100c8097","filters":{"venue":"Journal of Medical Diagnostic Methods"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/8b7c100c8097","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Medical+Diagnostic+Methods"},"results":[{"id":"W3164514937","doi":"","title":"The Impact of COVID-19 on Farmers? Economic Income in Hubei Province of China","year":2021,"lang":"en","type":"article","venue":"Journal of Medical Diagnostic Methods","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Autoregressive integrated moving average; Agricultural economics; Animal husbandry; Per capita; Per capita income; Net income; Statistics; Time series; Agriculture; Geography; Mathematics; Business; Economics; Demography","score_opus":0.05881395291137745,"score_gpt":0.4107103388800572,"score_spread":0.3518963859686798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164514937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99837863,0.00015291259,0.00016478525,0.00016858894,0.000006142996,0.000007340315,0.00049957406,0.000005599976,0.00061641587],"genre_scores_gemma":[0.9992418,0.00008483867,0.000052542568,0.000011399292,0.0000035642975,0.0000044593803,0.00034543095,8.969205e-7,0.0002550288],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966955,0.00004436683,0.00002929265,0.00007159429,0.00008638243,0.000098803415],"domain_scores_gemma":[0.99941456,0.00011172508,0.00017204093,0.000031031563,0.00016225608,0.000108361215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005455241,0.0002765758,0.0002159515,0.00082731765,0.00040132971,0.00052047684,0.00027669605,0.0001747705,0.00092889805],"category_scores_gemma":[0.0011991496,0.0001257239,0.0003012039,0.0015085714,0.00031879122,0.00034114183,0.00043826696,0.0002714896,0.000059216225],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002483468,0.000020457246,0.9922673,0.000026077454,0.000042948635,0.00027542928,0.0003738613,0.0011236501,0.00026379977,0.00023357506,0.00046414064,0.0048839054],"study_design_scores_gemma":[0.0000013679448,0.000009558282,0.996915,0.000004701004,0.000008985154,0.000020634017,0.00054611993,0.0020438407,0.000066523826,0.0000353176,0.0003438472,0.000004165899],"about_ca_topic_score_codex":0.24282834,"about_ca_topic_score_gemma":0.24631633,"teacher_disagreement_score":0.24282834,"about_ca_system_score_codex":0.0019130481,"about_ca_system_score_gemma":0.0019097741,"threshold_uncertainty_score":0.48282987},"labels":[],"label_agreement":null}]}