{"meta":{"query_hash":"9091b0fe54de","filters":{"venue":"中国粮油学报"},"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/9091b0fe54de","api":"https://metacan.xera.ac/api/v1/cohort?venue=%E4%B8%AD%E5%9B%BD%E7%B2%AE%E6%B2%B9%E5%AD%A6%E6%8A%A5"},"results":[{"id":"W2546726430","doi":"","title":"基于Kernel-ICA和X-ray成像的品种分类研究","year":2016,"lang":"zh","type":"article","venue":"中国粮油学报","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","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":"Kernel (algebra); Artificial intelligence; Independent component analysis; Mathematics; Computer science; Pattern recognition (psychology); Combinatorics","score_opus":0.020257393545303908,"score_gpt":0.2701969630532163,"score_spread":0.24993956950791238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2546726430","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04499795,0.0027003447,0.8616245,0.003341516,0.0008128305,0.000105963816,0.0006547695,0.0028898036,0.082872294],"genre_scores_gemma":[0.6905898,0.0030118083,0.22860712,0.00076830597,0.00061699277,0.00016401887,0.00086108746,0.0009901173,0.07439075],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99942136,0.00010866796,0.000031616943,0.00017637644,0.00019318989,0.00006878748],"domain_scores_gemma":[0.99884593,0.00029143304,0.000095187446,0.00015527612,0.0005592892,0.00005292096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010618176,0.00092487806,0.0007197765,0.0010368248,0.00094022596,0.004020133,0.0008138582,0.001050689,0.0072417576],"category_scores_gemma":[0.0031101701,0.0006300188,0.0009875374,0.001306088,0.001791604,0.003832928,0.0010758456,0.0022311108,0.0042253095],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040851082,0.00014967471,0.00956568,0.00072424463,0.00044534248,0.00042332316,0.0016271948,0.09361296,0.029196208,0.24923393,0.02880409,0.58580893],"study_design_scores_gemma":[0.000104327526,0.00017723894,0.036190208,0.00025005377,0.0004833957,0.0012142877,0.0017924244,0.46136796,0.05480271,0.28445816,0.15870999,0.00044923057],"about_ca_topic_score_codex":0.007178404,"about_ca_topic_score_gemma":0.0035270099,"teacher_disagreement_score":0.0072417576,"about_ca_system_score_codex":0.001972471,"about_ca_system_score_gemma":0.0018670976,"threshold_uncertainty_score":0.02422607},"labels":[],"label_agreement":null}]}