{"meta":{"query_hash":"d267e46989b1","filters":{"venue":"Asian journal of management sciences & education"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"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/d267e46989b1","api":"https://metacan.xera.ac/api/v1/cohort?venue=Asian+journal+of+management+sciences+%26+education"},"results":[{"id":"W2751060743","doi":"","title":"PREDICTING THE GDP OF THE NEW ECONOMY BASED ON THE HUMAN CAPITAL USING NEURAL NETWORK APPROACH","year":2017,"lang":"en","type":"article","venue":"Asian journal of management sciences & education","topic":"Stock Market Forecasting Methods","field":"Decision 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":"Human capital; Artificial neural network; Human intelligence; Physical capital; Capital (architecture); Human resources; Computer science; Economics; Economy; Artificial intelligence; Industrial organization; Market economy; Management","score_opus":0.14141151123344908,"score_gpt":0.4043033133522207,"score_spread":0.2628918021187716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2751060743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8240628,0.00005378871,0.008680974,0.021571998,0.0031689035,0.00051592785,5.2723243e-7,0.000004494564,0.14194055],"genre_scores_gemma":[0.9858788,8.5122286e-7,0.012262741,0.00034452937,0.0006797172,0.000003151595,8.7111026e-8,0.00000604999,0.00082402374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966859,0.00084735604,0.00071146444,0.00026468025,0.0012347007,0.0002558862],"domain_scores_gemma":[0.9952907,0.0008157383,0.0026375214,0.0009968407,0.00018617633,0.00007305407],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.018762007,0.00012806464,0.00018244305,0.00018454243,0.0028918756,0.001026578,0.0043365546,0.000025814312,0.00006172086],"category_scores_gemma":[0.0017772645,0.00005535924,0.0001916717,0.00058446015,0.00066573755,0.00064454536,0.00022561531,0.00024426877,0.0000017985312],"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":[0.000045823665,0.0002561108,0.3831203,0.000021333375,0.000083938925,0.000001398145,0.0056166514,0.17943987,0.000026627265,0.050140377,0.029107252,0.35214034],"study_design_scores_gemma":[0.00038318697,0.00021775822,0.71290654,0.0002845064,0.00014292102,0.000041235726,0.025176093,0.12916973,0.00005884698,0.12740618,0.0040143663,0.00019862047],"about_ca_topic_score_codex":0.000053859545,"about_ca_topic_score_gemma":0.000015439946,"teacher_disagreement_score":0.3519417,"about_ca_system_score_codex":0.000059845577,"about_ca_system_score_gemma":0.00043480145,"threshold_uncertainty_score":0.99840623},"labels":[],"label_agreement":null},{"id":"W643182939","doi":"","title":"Analyzing China's Banking System as One of its Economic Rise Factors","year":2014,"lang":"en","type":"article","venue":"Asian journal of management sciences & education","topic":"Banking stability, regulation, efficiency","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":"China; Position (finance); Economics; Chinese financial system; Quarter (Canadian coin); Economic expansion; Unemployment rate; Financial system; Unemployment; Economy; Economic system; Business; Finance; Macroeconomics; Political science; Geography","score_opus":0.016344111422914448,"score_gpt":0.24477226904304442,"score_spread":0.22842815762012997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W643182939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93017673,0.0007741033,0.0072137923,0.00071300654,0.0014041676,0.00017475555,0.00000257644,0.000010794544,0.059530064],"genre_scores_gemma":[0.9975608,0.00007108439,0.0020617319,0.0000075900484,0.00014068783,0.0000020098546,0.0000013054251,0.000008657506,0.00014613544],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9983252,0.000059271897,0.0010079044,0.0002828523,0.000117576164,0.00020716911],"domain_scores_gemma":[0.99776876,0.00003604928,0.0018275098,0.00023891167,0.0000616364,0.00006715366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033224984,0.00011827371,0.00032814272,0.0008515406,0.00021923191,0.0001259222,0.0005553086,0.000037148613,0.00019484045],"category_scores_gemma":[0.00008780744,0.00012454565,0.00012330174,0.00047211806,0.00011301655,0.00072341907,0.000036496265,0.000083279454,0.00004736912],"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":[0.00000530797,0.00017876063,0.2135967,0.00019211306,0.000055100085,1.7623381e-7,0.0017218683,0.003675171,0.000010697662,0.76631165,0.00007474561,0.014177698],"study_design_scores_gemma":[0.00030890232,0.00024814886,0.9505876,0.00032406105,0.000052276482,0.000007955484,0.0032014137,0.004301035,0.0002367148,0.037842754,0.002620618,0.0002685338],"about_ca_topic_score_codex":0.00006324984,"about_ca_topic_score_gemma":0.0000072220046,"teacher_disagreement_score":0.73699087,"about_ca_system_score_codex":0.00030159537,"about_ca_system_score_gemma":0.000101985905,"threshold_uncertainty_score":0.5078824},"labels":[],"label_agreement":null}]}