{"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":"b82abf0095ee","filters":{"venue":"Chin J Crit Care Intensive Care Med"}},"results":[{"id":"W3028982701","doi":"10.3877/cma.j.jssn.2096-1537.2015.01.014","title":"Research in critical care medicine: from bench to bedside","year":2015,"lang":"en","type":"article","venue":"Chin J Crit Care Intensive Care Med","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Bench to bedside; Intensive care medicine; Medicine; Translational research; Critically ill; Translational medicine; Sepsis; Clinical research; Medical physics; Pathology; Immunology","authors":[{"name":"Haibo Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1951767284604377,"gpt":0.4761298092719656,"spread":0.280953080811528,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02895417,0.001030136,0.0019664,0.003472853,0.002806038,0.01275878,0.002043188,0.006544593,0.009336592],"category_scores_gemma":[0.02284671,0.0005776754,0.000889748,0.0030638,0.02002432,0.01300638,0.006818059,0.01460564,0.003285643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004308674,"about_ca_system_score_gemma":0.01268833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001094324,"about_ca_topic_score_gemma":0.001465693,"domain_scores_codex":[0.9847829,0.008762699,0.001120667,0.001274602,0.00350454,0.0005546454],"domain_scores_gemma":[0.9594136,0.02233562,0.001976675,0.003817765,0.007136068,0.005320293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002887745,0.0004171805,0.002819559,0.009194705,0.0001274558,0.0004898249,0.004004875,0.0004830226,0.005220284,0.2513803,0.1622684,0.5633055],"study_design_scores_gemma":[0.0001025501,0.0008453885,0.00423436,0.01095722,0.00008561735,0.001222368,0.00615077,0.0004468501,0.002020848,0.2908213,0.6829684,0.0001444156],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003351913,0.5637315,0.01805963,0.3705054,0.01738176,0.00020429,0.0001930514,0.0003163546,0.02625598],"genre_scores_gemma":[0.08903818,0.6936026,0.05915894,0.1085936,0.03618621,0.000548393,0.0003102616,0.0001910665,0.0123709],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02895417,"threshold_uncertainty_score":0.1531261,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3029883023","doi":"10.3877/cma.j.issn.2096-1537.2018.02.010","title":"Bibliometrics research status of critical care medicine","year":2018,"lang":"en","type":"article","venue":"Chin J Crit Care Intensive Care Med","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","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":"Bibliometrics; China; Web of science; Medicine; Library science; Political science; Meta-analysis; Computer science; Internal medicine","authors":[{"name":"Hong Guo","is_ca":false},{"name":"Lei Zhu","is_ca":false},{"name":"Liu Jian","is_ca":false},{"name":"Liang Yao","is_ca":false},{"name":"Kehu Yang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3201558326624424,"gpt":0.530904574398985,"spread":0.2107487417365426,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01846172,0.001616134,0.006268004,0.2350075,0.002184651,0.008204325,0.001684612,0.001295215,0.01779075],"category_scores_gemma":[0.1113841,0.0006029837,0.005016326,0.2919566,0.001610234,0.005116729,0.003176158,0.001128182,0.002839937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005014227,"about_ca_system_score_gemma":0.01396142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007421917,"about_ca_topic_score_gemma":0.006463545,"domain_scores_codex":[0.9550355,0.008925115,0.01488554,0.003507279,0.01644588,0.001200713],"domain_scores_gemma":[0.8954005,0.05888173,0.01977662,0.004069635,0.02064498,0.001226493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006233365,0.00012722,0.1398205,0.2733535,0.008254313,0.0006771276,0.003227116,0.001734335,0.001380243,0.01620474,0.092241,0.4623566],"study_design_scores_gemma":[0.0003415883,0.0003344946,0.3106974,0.08062378,0.01822006,0.003239185,0.006354551,0.005169748,0.003164492,0.02171875,0.5497186,0.0004172384],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.07977245,0.5427687,0.01017197,0.01057766,0.002540756,0.003398636,0.2512214,0.002578881,0.09696949],"genre_scores_gemma":[0.542382,0.3202188,0.02883042,0.001372193,0.003081322,0.007589997,0.08863339,0.0006386866,0.007253236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7649925,"threshold_uncertainty_score":0.09763604,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}