{"meta":{"query_hash":"14c177f00bfc","filters":{"venue":"Journal of Southwest Jiaotong University"},"cohort_total":5,"direct_labels_cover":0,"predictions_cover":5,"exported":5,"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/14c177f00bfc","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Southwest+Jiaotong+University"},"results":[{"id":"W3127074863","doi":"10.35741/issn.0258-2724.55.6.27","title":"Internal Control and Crisis Management: Insights from State- and Privately-Owned Enterprises in Ghana","year":2020,"lang":"en","type":"article","venue":"Journal of Southwest Jiaotong University","topic":"Risk Management in Financial Firms","field":"Business, Management and Accounting","cited_by":2,"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":"Business; Control (management); Quarter (Canadian coin); Competence (human resources); Control environment; Financial crisis; State owned; Politics; Accounting; Economics; Market economy; Management; Internal audit; Political science","score_opus":0.008262553443435284,"score_gpt":0.17337780677000184,"score_spread":0.16511525332656654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127074863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99889946,0.00006441282,0.000028928911,0.00017162345,8.3312835e-7,0.0000036864633,0.000011868021,3.6504514e-7,0.0008188263],"genre_scores_gemma":[0.9997229,0.00009247105,0.000014168783,0.000018907238,0.0000011528298,0.0000020736238,0.000011941806,4.1978592e-7,0.0001359388],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994941,0.00021005978,0.000028606446,0.000032348584,0.000070617934,0.0001642585],"domain_scores_gemma":[0.99607545,0.0016629848,0.001452212,0.00009968821,0.0002873139,0.0004223297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010421134,0.000115899,0.00017210325,0.0008947678,0.0010105603,0.001532941,0.0002207747,0.00031272342,0.0017452535],"category_scores_gemma":[0.002765696,0.00014558787,0.00013113479,0.0014839513,0.001292799,0.0013658544,0.0011133559,0.00052881526,0.000092349415],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008709869,0.00026469666,0.8485491,0.000054940054,0.000015903837,0.0007943593,0.1361967,0.00015568078,0.00047501948,0.0015535931,0.00042537367,0.011427576],"study_design_scores_gemma":[0.0000054434104,0.00008659292,0.7328995,0.0000622559,0.000008478425,0.00014912555,0.26432657,0.00041552927,0.00011248088,0.00032006323,0.0016077729,0.0000061649394],"about_ca_topic_score_codex":0.020608712,"about_ca_topic_score_gemma":0.038500544,"teacher_disagreement_score":0.020608712,"about_ca_system_score_codex":0.0017789064,"about_ca_system_score_gemma":0.0011670958,"threshold_uncertainty_score":0.040977538},"labels":[],"label_agreement":null},{"id":"W3204742751","doi":"10.35741/issn.0258-2724.56.4.22","title":"CRIMINAL SANCTION CHARACTERISTICS AGAINST CORPORATION COMMITTED ON CONSUMER PROTECTION OFFENCES IN FEW COUNTRIES","year":2021,"lang":"en","type":"article","venue":"Journal of Southwest Jiaotong University","topic":"Indonesian Legal and Regulatory Studies","field":"Social Sciences","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":"Commit; Sanctions; Corporation; Business; Normative; Criminal law; Law; Political science","score_opus":0.025840869543403266,"score_gpt":0.2373725020551186,"score_spread":0.21153163251171533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204742751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995193,0.00008021468,0.000035162007,0.00004201095,0.0000036424517,0.000010177195,0.000093114926,0.000001404396,0.0045412285],"genre_scores_gemma":[0.99940443,0.000069199115,0.000032131513,0.000012156996,0.0000022851448,0.000006111231,0.00010786902,0.0000015686993,0.00036432088],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989254,0.00033390807,0.00017146496,0.00012961666,0.0002483219,0.00019134064],"domain_scores_gemma":[0.9887658,0.0015051482,0.0069435686,0.0004316819,0.0015116807,0.0008420641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081902154,0.00014460707,0.0002180977,0.0022668757,0.0011625693,0.0017379972,0.0002667697,0.0002872394,0.0026542358],"category_scores_gemma":[0.0065511526,0.00009793695,0.00018987032,0.0019139753,0.0008446843,0.00081004726,0.0010493696,0.0004952689,0.0002500122],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010580505,0.00009340772,0.97714376,0.00004998935,0.000045363762,0.00047611323,0.004670004,0.0004362249,0.0003215869,0.0025812844,0.0007231422,0.013353276],"study_design_scores_gemma":[0.0000030390854,0.00008012894,0.9871099,0.000052565476,0.000013518947,0.0006644326,0.0085527,0.00024962955,0.00016550979,0.00021777544,0.0028773483,0.000013529085],"about_ca_topic_score_codex":0.0053229243,"about_ca_topic_score_gemma":0.008130494,"teacher_disagreement_score":0.0053229243,"about_ca_system_score_codex":0.0007449662,"about_ca_system_score_gemma":0.0006083362,"threshold_uncertainty_score":0.010583878},"labels":[],"label_agreement":null},{"id":"W4210573879","doi":"10.35741/issn.0258-2724.56.6.18","title":"DECOMPOSER ACTIVITIES OF EUDRILUS EUGENIAE, EISENIA FETIDA, AND LUMBRICUS RUBELLUS: QUALITY OF MUSHROOM WASTE SUBSTRATE VERMICOMPOST","year":2021,"lang":"en","type":"article","venue":"Journal of Southwest Jiaotong University","topic":"Composting and Vermicomposting Techniques","field":"Agricultural and Biological Sciences","cited_by":1,"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":"Vermicompost; Eisenia fetida; Compost; Lumbricus rubellus; Mushroom; Chemistry; Earthworm; Toxicology; Food science; Biology; Nutrient; Agronomy","score_opus":0.019782239556828056,"score_gpt":0.2221571063574475,"score_spread":0.20237486680061945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210573879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988181,0.00046110275,0.00015372135,0.0000074200325,0.0000019045209,0.0000041151193,0.00011818754,0.0000036122506,0.00043176307],"genre_scores_gemma":[0.997614,0.0003988374,0.0005088682,0.000015630134,0.0000017436797,0.000005454347,0.00031814532,0.0000032175647,0.001134116],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999019,0.000009601926,0.0000146839075,0.000024258388,0.000029599292,0.000019962114],"domain_scores_gemma":[0.9998847,0.000011239939,0.00004701943,0.0000051810507,0.00003146168,0.000020445621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000109654466,0.00034714982,0.00019498168,0.0004426466,0.00011495694,0.00030945067,0.000089348825,0.00017954544,0.00043736448],"category_scores_gemma":[0.0001849545,0.00012267844,0.00018643505,0.00022721512,0.000101166006,0.00024403915,0.00022128553,0.00013970587,0.00009019434],"study_design_candidate":"observational","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":[0.00014004897,0.00003057619,0.041076772,0.00012043145,0.0000259026,0.0001294994,0.00009217664,0.000106163585,0.9521864,0.000022761767,0.000016832526,0.006052421],"study_design_scores_gemma":[0.000010200161,0.00062643073,0.68486893,0.000037195816,0.00010495939,0.0005231934,0.00044219318,0.00083016336,0.31148905,0.000055089404,0.0010001446,0.000012522683],"about_ca_topic_score_codex":0.0018169346,"about_ca_topic_score_gemma":0.004039023,"teacher_disagreement_score":0.0018169346,"about_ca_system_score_codex":0.00013912094,"about_ca_system_score_gemma":0.00013798686,"threshold_uncertainty_score":0.0036126971},"labels":[],"label_agreement":null},{"id":"W4237337900","doi":"10.35741/issn.0258-2724.55.4.65","title":"Factors Affecting Real Estate Prices – Evidence From Macroeconomic Data In Vietnam","year":2020,"lang":"en","type":"article","venue":"Journal of Southwest Jiaotong University","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","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":"Real estate; Economics; Cost approach; Capitalization rate; Real estate investment trust; Inflation (cosmology); Price index; Quarter (Canadian coin); Index (typography); Commodity; Money supply; Monetary economics; Interest rate; Financial economics; Macroeconomics; Finance","score_opus":0.0992580826167453,"score_gpt":0.2364693379116448,"score_spread":0.13721125529489947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237337900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933749,0.00031545034,0.00013710138,0.00045231878,0.0000113318,0.000010083249,0.0017953416,0.000003326346,0.0039000476],"genre_scores_gemma":[0.9976301,0.0003460899,0.00007251215,0.000036589623,0.000010435005,0.0000037936802,0.0014300477,0.0000025229797,0.0004678719],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995834,0.00014699971,0.000053428572,0.00007273531,0.00008271707,0.000060798826],"domain_scores_gemma":[0.9958663,0.0010030016,0.001937553,0.00020840125,0.00065696833,0.0003277896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063175353,0.000086517466,0.000153911,0.0005547918,0.00029635607,0.0010775427,0.00018349582,0.00014986756,0.0015945535],"category_scores_gemma":[0.0027630567,0.00014076493,0.00014954094,0.0016360693,0.00034417692,0.00048312757,0.00039310646,0.00034102314,0.00019771763],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051481533,0.0000685267,0.99116933,0.000048643702,0.00006556009,0.00029238235,0.0006924503,0.00042616404,0.00011966801,0.00066419644,0.0014437705,0.0049579213],"study_design_scores_gemma":[0.0000054789007,0.000021470107,0.9938658,0.00002565157,0.000022919658,0.0000617151,0.002071063,0.0007286854,0.0001647638,0.00021050611,0.002816374,0.0000055717715],"about_ca_topic_score_codex":0.08359235,"about_ca_topic_score_gemma":0.07732534,"teacher_disagreement_score":0.08359235,"about_ca_system_score_codex":0.00072088884,"about_ca_system_score_gemma":0.0006868597,"threshold_uncertainty_score":0.1662116},"labels":[],"label_agreement":null},{"id":"W4324123232","doi":"10.35741/issn.0258-2724.58.1.37","title":"A MULTI-OBJECTIVE OPTIMIZATION FRAMEWORK FOR TRAFFIC SIGNAL DESIGN","year":2023,"lang":"en","type":"article","venue":"Journal of Southwest Jiaotong University","topic":"Traffic control and management","field":"Engineering","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":"Phaser; Queue; Intersection (aeronautics); Plan (archaeology); Software; Computer science; Index (typography); Sequence (biology); Transport engineering; Operations research; Simulation; Real-time computing; Engineering; Computer network","score_opus":0.018610444574132298,"score_gpt":0.20811678196197836,"score_spread":0.18950633738784606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324123232","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":[0.0011525674,0.00033661505,0.99547464,0.00009460894,0.00003080379,0.00007866527,0.000061954175,0.00013197355,0.0026381637],"genre_scores_gemma":[0.1162841,0.00096688076,0.876971,0.00011510064,0.00008419313,0.0012201159,0.00036400007,0.00016301929,0.0038315197],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987134,0.00067517726,0.00006161325,0.00014097766,0.00030306578,0.0001056444],"domain_scores_gemma":[0.9989091,0.0007122522,0.00007533762,0.000033719236,0.00022458224,0.000044997905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035012853,0.0026203305,0.0015420148,0.0016314563,0.00071660243,0.0016122098,0.00205287,0.0013694696,0.00472742],"category_scores_gemma":[0.0029724694,0.0009080237,0.002054155,0.0015137705,0.0007515577,0.0010291595,0.0014532108,0.0019747156,0.0006790273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008762195,0.000020125592,0.00009633714,0.000082795865,0.000025668196,0.000024277535,0.00001961861,0.9762216,0.00017084369,0.012909951,0.0005182789,0.009901706],"study_design_scores_gemma":[0.00000772134,0.000020209018,0.000025857884,0.000016737573,0.0000069806065,0.000005339528,0.000008286711,0.99327445,0.000074845324,0.0052122404,0.0013427695,0.0000045944653],"about_ca_topic_score_codex":0.012106954,"about_ca_topic_score_gemma":0.01196912,"teacher_disagreement_score":0.012106954,"about_ca_system_score_codex":0.0016237105,"about_ca_system_score_gemma":0.0032237356,"threshold_uncertainty_score":0.024072945},"labels":[],"label_agreement":null}]}