{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"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":"f25d8ad7dac9","filters":{"venue":"China Journal of Bioinformatics"}},"results":[{"id":"W2390490379","doi":"","title":"Mining abiotic response genes from Arabidopsis microarray expression data","year":2009,"lang":"en","type":"article","venue":"China Journal of Bioinformatics","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Science North","funders":"","keywords":"Arabidopsis; Gene; Abiotic stress; Biology; Microarray analysis techniques; Transcription factor; Abiotic component; Genetics; Gene expression; DNA microarray; Gene expression profiling; Computational biology; Mutant; Ecology","authors":[{"name":"Yanming Zhu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01504576472090069,"gpt":0.2562075128399253,"spread":0.2411617481190246,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004839146,0.0008297192,0.000846046,0.003399236,0.0004675484,0.0005078016,0.0006888103,0.0005774194,0.001204355],"category_scores_gemma":[0.001073423,0.0002849189,0.0009269888,0.003084937,0.0002020152,0.0003500913,0.0003249847,0.000644915,0.0006592193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000539393,"about_ca_system_score_gemma":0.0007911194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001765939,"about_ca_topic_score_gemma":0.002930907,"domain_scores_codex":[0.9994658,0.00004890714,0.00006085176,0.0002011415,0.0001535754,0.00006969574],"domain_scores_gemma":[0.9995221,0.0001869215,0.00009272939,0.00004690637,0.0001151776,0.00003619314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001101491,0.0004561868,0.04627477,0.0018688,0.000395896,0.001482489,0.0003902479,0.008515019,0.7997314,0.001522766,0.006979269,0.1312816],"study_design_scores_gemma":[0.0002565471,0.001018756,0.403435,0.0001503884,0.0008014349,0.002384519,0.001342343,0.1392576,0.3730525,0.009708622,0.0683712,0.0002210838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7189878,0.002799467,0.1488968,0.0007037949,0.0001131141,0.0004482982,0.1197231,0.005307799,0.00301989],"genre_scores_gemma":[0.5907485,0.001458027,0.198367,0.0003846525,0.00008450346,0.0009094426,0.2056556,0.0002809324,0.002111376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003399236,"threshold_uncertainty_score":0.004028916,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2369326609","doi":"","title":"Reconstruction of genetic regulatory network from omics data","year":2010,"lang":"en","type":"article","venue":"China Journal of Bioinformatics","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Science North","funders":"","keywords":"Gene regulatory network; Bayesian network; Computational biology; Computer science; Biomedicine; Biological network; Artificial life; Systems biology; Biology; Gene; Theoretical computer science; Artificial intelligence; Data science; Genetics","authors":[{"name":"Yanming Zhu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007905341687873928,"gpt":0.217805065736015,"spread":0.2098997240481411,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007143469,0.0006708609,0.0005250203,0.002358872,0.0003398565,0.0009576616,0.0006407394,0.0006108379,0.0009590554],"category_scores_gemma":[0.003629097,0.0003091016,0.0008284442,0.001642222,0.0004283758,0.001059146,0.0005321677,0.0008438821,0.0003303838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001095675,"about_ca_system_score_gemma":0.00130154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00889775,"about_ca_topic_score_gemma":0.005968462,"domain_scores_codex":[0.999486,0.0001338936,0.00002781959,0.0001856404,0.0001204403,0.0000462488],"domain_scores_gemma":[0.9993138,0.0003302958,0.0001023353,0.0001150498,0.000102518,0.00003597066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004687652,0.0001116595,0.02629337,0.0006122839,0.000177382,0.001360091,0.0003257371,0.7329649,0.0440799,0.05943193,0.004399167,0.1297748],"study_design_scores_gemma":[0.0000147287,0.00001816472,0.002678351,0.0000318547,0.00004727679,0.0001971795,0.0000621271,0.9491122,0.0102423,0.03234486,0.005225897,0.00002510083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08572002,0.0009056129,0.9024332,0.000694926,0.0000521461,0.00006065105,0.006971095,0.001723082,0.001439324],"genre_scores_gemma":[0.6126084,0.002130177,0.3691072,0.0002160881,0.00004473201,0.0001797247,0.0141309,0.0001962846,0.001386388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00889775,"threshold_uncertainty_score":0.01769191,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}