{"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":"6aca389733fd","filters":{"venue":"Chinese Journal of Underground Space and Engineering"}},"results":[{"id":"W2389276815","doi":"","title":"Inspiration to Guangzhou's Underground Space Development from Montreal's Indoor City","year":2007,"lang":"en","type":"article","venue":"Chinese Journal of Underground Space and Engineering","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Architectural engineering; Space (punctuation); Development (topology); Civil engineering; Function (biology); Natural (archaeology); Engineering; Geography; Computer science; Archaeology; Mathematics","authors":[{"name":"Zhao Gui-hua","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004496526006548845,"gpt":0.2027340285565391,"spread":0.1982375025499902,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006520088,0.000488177,0.0005880052,0.0004747558,0.00015243,0.0002240847,0.0002447093,0.0002229101,0.00002737413],"category_scores_gemma":[0.0001920158,0.0004129648,0.000128662,0.0005570779,0.00003402491,0.0008595684,0.00007890826,0.0005669154,0.000003913849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006800317,"about_ca_system_score_gemma":0.000105527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002193682,"about_ca_topic_score_gemma":0.001081734,"domain_scores_codex":[0.9979127,0.00002076556,0.0007899748,0.0002657026,0.0004407094,0.0005701279],"domain_scores_gemma":[0.9986131,0.0002998038,0.0001440645,0.0002707726,0.0001942651,0.0004780617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001071288,0.0006149505,0.2333668,0.001597952,0.003421656,0.001021341,0.04102316,0.5058411,0.124488,0.007312249,0.006520473,0.07372098],"study_design_scores_gemma":[0.002615222,0.0003702885,0.9423127,0.0002969958,0.0001365965,0.0002761101,0.003457059,0.008104541,0.003634229,0.01527368,0.02194459,0.001578019],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.687213,0.0008577366,0.3098995,0.0002632239,0.0006174325,0.000133287,0.000002048675,0.0001001558,0.00091364],"genre_scores_gemma":[0.9847761,0.000109201,0.01421402,0.00009380381,0.0006307972,0.000003212092,0.000007168215,0.00006707582,0.00009859936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7089458,"threshold_uncertainty_score":0.9998322,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2379045349","doi":"","title":"Underground Pedestrian Network Development in Montreal City","year":2009,"lang":"en","type":"article","venue":"Chinese Journal of Underground Space and Engineering","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Government (linguistics); Pedestrian; China; Process (computing); Business; Transport engineering; Engineering; Finance; Political science; Computer science; Law","authors":[{"name":"Yongjing Tang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004036256042695951,"gpt":0.1934387383377007,"spread":0.1894024822950048,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004572466,0.0003870424,0.000567693,0.0002899675,0.00008981879,0.0001473395,0.0001935459,0.0001692432,0.00001531456],"category_scores_gemma":[0.00008562952,0.0003213673,0.0001085363,0.0004978927,0.00002720558,0.0006722231,0.00002797597,0.0005982107,9.140026e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004039484,"about_ca_system_score_gemma":0.00008319935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003299584,"about_ca_topic_score_gemma":0.000349978,"domain_scores_codex":[0.99831,0.00002471379,0.0006810927,0.0001805168,0.0002667389,0.0005369073],"domain_scores_gemma":[0.9992592,0.0001443007,0.0001011461,0.0001814255,0.0000769891,0.0002369603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001305375,0.0001418369,0.07997122,0.0003535358,0.0002699827,0.0003161276,0.002191656,0.8944224,0.001142837,0.003025293,0.00145103,0.0165836],"study_design_scores_gemma":[0.002142829,0.0002588414,0.910791,0.000225612,0.00004384903,0.000492654,0.0006033154,0.02487631,0.00004898294,0.05511642,0.00457747,0.0008226672],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9557205,0.002604285,0.0383224,0.0003355326,0.0004258233,0.000112018,4.184438e-7,0.0000763204,0.002402679],"genre_scores_gemma":[0.9953544,0.0004313398,0.003607742,0.00004977302,0.0004533558,0.000001618088,0.000002100217,0.00002854125,0.00007120077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8695461,"threshold_uncertainty_score":0.9999238,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}