{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":8,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":8,"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":"d0242fbc4e9c","filters":{"venue":"Journal of Clinical Medicine of Kazakhstan"}},"results":[{"id":"W3215866281","doi":"10.23950/jcmk/11390","title":"How can cancer screening centers improve the healthcare system of Kazakhstan?","year":2021,"lang":"en","type":"article","venue":"Journal of Clinical Medicine of Kazakhstan","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Medicine; Cancer; Health care; Cancer screening; Breast cancer; Developed country; Family medicine; Quality (philosophy); Healthcare system; Environmental health; Gynecology; Economic growth; Population","authors":[{"name":"Bibigul Sarymsakova","is_ca":false},{"name":"Gulnara Kulkayeva","is_ca":false},{"name":"Nurgul Azhdarova","is_ca":false},{"name":"Assel Khassenova","is_ca":false},{"name":"Gulnur Zhakhina","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1821563716460326,"gpt":0.466445403453467,"spread":0.2842890318074345,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001793948,0.0004362797,0.0004381941,0.001209131,0.001161501,0.002980741,0.0006920159,0.001479676,0.006072055],"category_scores_gemma":[0.004686996,0.0001271443,0.0004506503,0.00155007,0.001062828,0.002527409,0.001448371,0.001259814,0.0009502305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003259218,"about_ca_system_score_gemma":0.01017032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01541059,"about_ca_topic_score_gemma":0.01507067,"domain_scores_codex":[0.9990133,0.0005186062,0.00007173271,0.00006309126,0.0001000944,0.0002332424],"domain_scores_gemma":[0.9987245,0.0002895535,0.0002033063,0.0000442709,0.0003960397,0.0003422734],"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":[0.0001834959,0.0001523871,0.03365148,0.007800969,0.0002295464,0.0008726849,0.002383715,0.001605678,0.0005832451,0.04475953,0.1757863,0.731991],"study_design_scores_gemma":[0.0001105873,0.0003287422,0.1114826,0.0116084,0.0004004682,0.002021102,0.0160543,0.000775757,0.000792027,0.02842057,0.8278776,0.0001278387],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02838039,0.4236714,0.002455948,0.5126006,0.008255475,0.00008468925,0.0006348321,0.0004365002,0.0234802],"genre_scores_gemma":[0.4657774,0.4523766,0.005980237,0.06275868,0.005308408,0.0001430244,0.0009415087,0.00005413437,0.006659982],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01541059,"threshold_uncertainty_score":0.03064179,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411795905","doi":"10.23950/jcmk/16412","title":"Artificial Intelligence in Sports Science: A Systematic Review on Performance Optimization, Injury Prevention, and Rehabilitation","year":2025,"lang":"en","type":"review","venue":"Journal of Clinical Medicine of Kazakhstan","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Rehabilitation; Sports science; Sports injury; Psychology; Computer science; Medicine; Engineering; Physical therapy","authors":[{"name":"Maheshkumar Baladaniya","is_ca":false},{"name":"Aashish Choudhary","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1882783980995485,"gpt":0.5694780382302077,"spread":0.3811996401306592,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009442349,0.00179177,0.008911274,0.008371859,0.0008295686,0.003529322,0.00181765,0.002414832,0.005184314],"category_scores_gemma":[0.03620736,0.001005459,0.01163743,0.009157401,0.0008709548,0.00239146,0.001677184,0.001640368,0.0003409453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003720779,"about_ca_system_score_gemma":0.0120706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008000602,"about_ca_topic_score_gemma":0.02305134,"domain_scores_codex":[0.9915242,0.003391959,0.002914151,0.000473432,0.001480426,0.0002158349],"domain_scores_gemma":[0.9772618,0.01725869,0.003172332,0.0003439157,0.001715166,0.0002480739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002135532,0.00003284604,0.0003774138,0.9447071,0.01037379,0.00004679203,0.0001132194,0.0001154802,0.00007852342,0.0002170484,0.001178021,0.04254633],"study_design_scores_gemma":[0.0003619607,0.0002589867,0.003265181,0.8942273,0.08681806,0.0002135466,0.0001402226,0.0001580567,0.0001148875,0.0004584861,0.0139423,0.00004095562],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005641318,0.9982774,0.000155273,0.0002439365,0.0001102631,0.0002881248,0.0001279034,0.000006792546,0.0002261582],"genre_scores_gemma":[0.007995329,0.9898888,0.0007828704,0.0004507065,0.00009082793,0.0005899112,0.0001105108,0.000003896168,0.00008720537],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009442349,"threshold_uncertainty_score":0.04993647,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403773843","doi":"10.23950/jcmk/15142","title":"Soluble and Cellular Inflammatory Predictive Markers Associated with Recurrent Pregnancy Loss Among Kazakhstani Women: a Pilot Study","year":2024,"lang":"en","type":"article","venue":"Journal of Clinical Medicine of Kazakhstan","topic":"Reproductive System and Pregnancy","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brock University","funders":"","keywords":"Pregnancy; Medicine; Obstetrics; Gynecology; Immunology; Biology; Genetics","authors":[{"name":"Damira Shertay","is_ca":false},{"name":"Gulzhanat Aimagambetova","is_ca":false},{"name":"Abay Tursunov","is_ca":false},{"name":"Talshyn Ukybassova","is_ca":false},{"name":"Aizada Marat","is_ca":false},{"name":"Madina Sharipova","is_ca":false},{"name":"Wassim Y. Almawi","is_ca":true},{"name":"Kuralay Atageldiyeva","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03224875752753999,"gpt":0.3164583027309933,"spread":0.2842095452034534,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006582236,0.0004377217,0.0004177498,0.0006457767,0.0006646842,0.0004823513,0.0002280203,0.0003207242,0.001326128],"category_scores_gemma":[0.001051934,0.0003019969,0.0004372652,0.0008360855,0.000400918,0.0002892213,0.0004412498,0.0003409281,0.0002660915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002939698,"about_ca_system_score_gemma":0.0006155789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004087579,"about_ca_topic_score_gemma":0.004132518,"domain_scores_codex":[0.9996879,0.0001125841,0.00002929,0.00005339453,0.00004163115,0.00007521266],"domain_scores_gemma":[0.9995787,0.00009005086,0.0001167399,0.00005646105,0.00007023341,0.00008783791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006690799,0.0003109038,0.991936,0.00005472862,0.00005046999,0.0004720402,0.001105386,0.00003109096,0.0008871082,0.00004274465,0.0001307313,0.004309755],"study_design_scores_gemma":[0.00004096051,0.001915963,0.993651,0.00001533965,0.0001073543,0.001372387,0.001915402,0.0001569123,0.0001722871,0.00003940434,0.0006034248,0.00000964809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999418,0.0001690639,0.00006017339,0.00002479834,0.00000371418,0.0000233754,0.00009239208,0.000002058213,0.0002063675],"genre_scores_gemma":[0.9994449,0.0001183908,0.0001210901,0.0000373006,0.00001299373,0.00002194103,0.0001128595,7.938663e-7,0.000129592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004087579,"threshold_uncertainty_score":0.00812757,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405577299","doi":"10.23950/jcmk/15702","title":"Complete Blood Count (CBC) and Multivariate Analysis as Tools for Predicting Coronavirus (COVID-19) Infectious","year":2024,"lang":"en","type":"article","venue":"Journal of Clinical Medicine of Kazakhstan","topic":"COVID-19 Clinical Research Studies","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":"Environment and Climate Change Canada","funders":"","keywords":"Mean corpuscular volume; Red blood cell distribution width; White blood cell; Complete blood count; Medicine; Hematocrit; Mean corpuscular hemoglobin; Mean corpuscular hemoglobin concentration; Population; Immunology; Internal medicine; Coronavirus disease 2019 (COVID-19); Platelet; Absolute neutrophil count; Hemoglobin; Lymphocyte; Gastroenterology; Infectious disease (medical specialty)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.2587239167104872,"gpt":0.5653913599610502,"spread":0.306667443250563,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002417464,0.0007372845,0.0006343606,0.002938029,0.0002662417,0.0008254105,0.0003532367,0.0003695227,0.000951241],"category_scores_gemma":[0.005573465,0.0001834047,0.0005577047,0.001812854,0.0002847114,0.0005467669,0.0004684942,0.0007474411,0.0002566763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002393178,"about_ca_system_score_gemma":0.0004715093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002434592,"about_ca_topic_score_gemma":0.00310814,"domain_scores_codex":[0.998379,0.0008323463,0.0001642953,0.0001581188,0.0003549837,0.000111238],"domain_scores_gemma":[0.9973315,0.001199531,0.0006098829,0.0001427377,0.0004359788,0.0002804007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005417991,0.0001081963,0.9739103,0.00004312535,0.0001349233,0.0001284926,0.00007986618,0.0004937841,0.0006733731,0.00009161979,0.0007352024,0.02305924],"study_design_scores_gemma":[0.00002090377,0.0005857487,0.9853086,0.00003411317,0.0001210678,0.0004828286,0.0002862134,0.01107922,0.0007650328,0.0002846501,0.001009474,0.00002219189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868618,0.002060268,0.005850537,0.0003228788,0.00009576491,0.0001106306,0.001946828,0.0001191013,0.002632154],"genre_scores_gemma":[0.9940697,0.0005064692,0.0039119,0.00005659199,0.00007005755,0.000088589,0.0007724457,0.00001079048,0.0005135195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002938029,"threshold_uncertainty_score":0.0127849,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7117759112","doi":"10.23950/jcmk/17449","title":"Classification of Combined MLO and CC Mammographic Views Using Vision–Language Models","year":2025,"lang":"en","type":"article","venue":"Journal of Clinical Medicine of Kazakhstan","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Preprocessor; Mammography; Digital mammography; Breast cancer screening; Adaptability; Breast cancer; Screening mammography; Recall","authors":[{"name":"Beibit Abdikenov","is_ca":true},{"name":"Nurbek Saidnassim","is_ca":true},{"name":"Birzhan Ayanbayev","is_ca":true},{"name":"Aruzhan Imasheva","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1106180281102844,"gpt":0.454633052733089,"spread":0.3440150246228046,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004003232,0.001782898,0.0007184754,0.001566923,0.0002293094,0.0009501246,0.001018321,0.0008420551,0.005035932],"category_scores_gemma":[0.001714634,0.0003318046,0.001469046,0.0007791827,0.0003239327,0.0006308242,0.001012702,0.0009679639,0.003406042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006074373,"about_ca_system_score_gemma":0.001039496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01772941,"about_ca_topic_score_gemma":0.03228295,"domain_scores_codex":[0.9996175,0.00003850525,0.00001481918,0.0001579582,0.00006703232,0.0001042048],"domain_scores_gemma":[0.9997037,0.00005770455,0.00002597175,0.00006555303,0.0001037355,0.00004339945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001984158,0.0006803368,0.02712613,0.0009074606,0.0006264924,0.001171628,0.0001894949,0.08705491,0.08667896,0.001856784,0.1238444,0.6678793],"study_design_scores_gemma":[0.0001778702,0.0003936038,0.02894324,0.0002412455,0.0003204448,0.0009954469,0.0004678003,0.8879603,0.05162635,0.003459345,0.02530227,0.0001120662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6116046,0.009639625,0.2374896,0.002741007,0.001994199,0.000771679,0.0828262,0.03006821,0.02286492],"genre_scores_gemma":[0.7752369,0.001675007,0.103122,0.0009378965,0.0003244214,0.0003072963,0.104682,0.001061532,0.01265316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01772941,"threshold_uncertainty_score":0.03525239,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413827745","doi":"10.23950/jcmk/16388","title":"Microwave Ablation in the Treatment of Benign Thyroid Nodules. Case Report","year":2025,"lang":"en","type":"article","venue":"Journal of Clinical Medicine of Kazakhstan","topic":"Thyroid Cancer Diagnosis and Treatment","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":"National Defence Medical Centre","funders":"","keywords":"Microwave ablation; Thyroid nodules; Ablation; Thyroid; Microwave; Medicine; Radiology; Computer science; Internal medicine; Telecommunications","authors":[{"name":"Niyaz Malayev","is_ca":true},{"name":"Saule Kubekova","is_ca":false},{"name":"Dinara Bayanova","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05968159519129246,"gpt":0.4356223375344715,"spread":0.375940742343179,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002347978,0.001468867,0.0008243129,0.001622899,0.001775501,0.0008960429,0.0008349789,0.004154608,0.002514892],"category_scores_gemma":[0.001131035,0.0004926043,0.001149113,0.0008686648,0.001039452,0.001114702,0.0009437676,0.002482938,0.001482113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008827245,"about_ca_system_score_gemma":0.0006920446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001844824,"about_ca_topic_score_gemma":0.00295277,"domain_scores_codex":[0.9996279,0.00005391137,0.00005214159,0.00007884242,0.00007199286,0.0001150793],"domain_scores_gemma":[0.9996763,0.00006867031,0.00008525905,0.00003448745,0.00001768906,0.0001176685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.00003574518,0.00007277448,0.002769711,0.00008528329,0.00001305379,0.9873149,0.0001266145,0.0001403901,0.001012473,0.0002199339,0.000960723,0.007248271],"study_design_scores_gemma":[0.000007326575,0.00003396084,0.001020335,0.00001467273,0.000009312816,0.9966933,0.00004099097,0.0001572529,0.0002538849,0.0001293961,0.001633886,0.000005693119],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7319283,0.1289685,0.03213836,0.0168474,0.003857767,0.001438926,0.0008058031,0.001218134,0.0827968],"genre_scores_gemma":[0.9635025,0.01424457,0.006109258,0.004100486,0.0031535,0.0001736977,0.0002349973,0.00006984851,0.008411173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004154608,"threshold_uncertainty_score":0.008413196,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414227163","doi":"10.23950/jcmk/16877","title":"The Effect of Melatonin Adjuvant on Cognitive Function and Melatonin Levels in Schizophrenia Patients","year":2025,"lang":"en","type":"article","venue":"Journal of Clinical Medicine of Kazakhstan","topic":"Perfectionism, Procrastination, Anxiety Studies","field":"Psychology","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":"Melatonin; Risperidone; Schizophrenia (object-oriented programming); Cognition; Positive and Negative Syndrome Scale; Adjuvant; Randomized controlled trial","authors":[{"name":"Christian Haryanto Junaedi","is_ca":false},{"name":"Andi Jayalangkara Tanra","is_ca":false},{"name":"Kristian Liaury","is_ca":false},{"name":"Suryani Tawali","is_ca":false},{"name":"Ika Yustisia","is_ca":false},{"name":"Erlyn Limoa","is_ca":false},{"name":"Saidah Syamsuddin","is_ca":false},{"name":"Sonny Teddy Lisal","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02674584006149409,"gpt":0.4112831368382849,"spread":0.3845372967767908,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004332918,0.0002843523,0.0006499242,0.0002000751,0.0002044379,0.0001895182,0.0001295589,0.000314791,0.0009942292],"category_scores_gemma":[0.0006673453,0.0001766941,0.0003898188,0.0001286414,0.0002265793,0.0001721344,0.0001527922,0.0004287689,0.0001091764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002300206,"about_ca_system_score_gemma":0.0003884827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006797739,"about_ca_topic_score_gemma":0.001334753,"domain_scores_codex":[0.9998384,0.00006899584,0.00002367438,0.00001940309,0.0000220473,0.00002742853],"domain_scores_gemma":[0.9996463,0.00006740279,0.00009629321,0.00002222611,0.00001974221,0.0001479678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.7607818,0.03221382,0.04620878,0.0006457535,0.0005031234,0.0003511118,0.0002574607,0.0003173042,0.06677651,0.00006937255,0.0005623184,0.09131263],"study_design_scores_gemma":[0.05921236,0.6624704,0.2678344,0.00006174183,0.0006311063,0.0002902358,0.0001768858,0.0006469171,0.007395163,0.00009259456,0.001154009,0.00003420938],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992425,0.0005019707,0.00001783093,0.00003314253,0.00001521121,0.00003225844,0.00002340205,0.000004024259,0.0001295466],"genre_scores_gemma":[0.9991531,0.000328027,0.0001391718,0.00005440258,0.00002728715,0.00005451882,0.00004702022,9.311148e-7,0.0001955638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009942292,"threshold_uncertainty_score":0.003326058,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7117778758","doi":"10.23950/jcmk/17362","title":"Mucosal Immune Markers and Their Impact on Antimicrobial Resistance: A Systematic Review","year":2025,"lang":"en","type":"article","venue":"Journal of Clinical Medicine of Kazakhstan","topic":"Pediatric health and respiratory diseases","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Saskatchewan Health; Saskatchewan Health Authority","funders":"","keywords":"Immune system; Secretory IgA; Antibody; Checklist; Inclusion and exclusion criteria; Immunoglobulin A; Mucosal immunity; Lactoferrin","authors":[{"name":"Olabisi Promise Lawal","is_ca":false},{"name":"Aliyu O Olaniyi","is_ca":false},{"name":"Uche Cyprain Tochukwu","is_ca":false},{"name":"Catherine Rono","is_ca":false},{"name":"Mayowa Josiah Badmus","is_ca":false},{"name":"Misbahudeen Olohuntoyin Abdulkareem","is_ca":false},{"name":"Udeichi Mmesoma Odinaka","is_ca":false},{"name":"Idris Olumide Orenolu","is_ca":true},{"name":"Udeichi Nnenna Chidimma","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05796850053176619,"gpt":0.5172568471985015,"spread":0.4592883466667353,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007002585,0.001617787,0.007529389,0.009172214,0.0006543149,0.003146815,0.001868142,0.002409015,0.00542822],"category_scores_gemma":[0.03046717,0.001198836,0.008084486,0.009347956,0.0008513607,0.002561027,0.00159215,0.00127621,0.0003979639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003518786,"about_ca_system_score_gemma":0.01221823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00877686,"about_ca_topic_score_gemma":0.02640885,"domain_scores_codex":[0.9943006,0.00200657,0.002017101,0.0004402781,0.00101198,0.0002234016],"domain_scores_gemma":[0.9792909,0.0149059,0.003628435,0.0002778429,0.001660317,0.0002366159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001217218,0.00001399849,0.0005415218,0.9719839,0.004765983,0.00006790653,0.000169303,0.00006467722,0.00008939658,0.0001805687,0.0009784942,0.02102257],"study_design_scores_gemma":[0.0001479814,0.0001779142,0.00344719,0.9337559,0.04815882,0.0003129413,0.0003295227,0.00006538658,0.0001059944,0.0001975845,0.0132674,0.00003340903],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008108694,0.9982845,0.0000783371,0.0001948007,0.00006704075,0.0002107911,0.0001863961,0.000004748874,0.0001625402],"genre_scores_gemma":[0.0114501,0.9867616,0.0004599643,0.0004545654,0.00006601543,0.0005324481,0.0001601714,0.000003696392,0.0001114479],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009172214,"threshold_uncertainty_score":0.03703362,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}