{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":1,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"aaff5dc49bb7","filters":{"venue":"人文地理"}},"results":[{"id":"W32613356","doi":"10.1007/s12079-020-00572-5","title":"试论宁南山区环境、资源、人口协调发展的扶贫开发政策选择","year":2000,"lang":"en","type":"article","venue":"人文地理","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","authors":[{"name":"束锡红","is_ca":false},{"name":"何海","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003446002790301749,"gpt":0.2189328348035604,"spread":0.2154868320132587,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001372838,0.0002599551,0.0002071068,0.0001527287,0.0001309676,0.0003015697,0.00006975386,0.000231861,0.0009482228],"category_scores_gemma":[0.0001440931,0.00009573399,0.0002145319,0.0001154038,0.0001476745,0.000196634,0.0001442376,0.0003226739,0.0002833666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001397632,"about_ca_system_score_gemma":0.0001197587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002779949,"about_ca_topic_score_gemma":0.0004796846,"domain_scores_codex":[0.9998554,0.00001990129,0.00001351264,0.00004336061,0.0000443722,0.00002356823],"domain_scores_gemma":[0.9998906,0.00002392192,0.00003853157,0.000007983625,0.0000244094,0.00001454931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001821904,0.000004788579,0.0003097444,0.00003184109,0.000002040746,0.00002681997,0.000007587447,0.00001771294,0.9983919,0.00001846189,0.000005933436,0.00116495],"study_design_scores_gemma":[0.000002841679,0.0001798684,0.006814173,0.00001134507,0.0000113969,0.0003963296,0.00004117646,0.0002837065,0.9908516,0.00003274981,0.001372206,0.000002711317],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866116,0.00510773,0.006535379,0.00007176402,0.00002476407,0.0000387651,0.000279528,0.00002942553,0.001301002],"genre_scores_gemma":[0.9852399,0.003393972,0.008089072,0.0000635691,0.00001635558,0.00004415384,0.0005406868,0.00001494827,0.002597364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009482228,"threshold_uncertainty_score":0.0031721,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}