{"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":"4ed63d72f92a","filters":{"venue":"Journal of Management Practices Humanities and Social Sciences"}},"results":[{"id":"W4316088192","doi":"10.33152/jmphss-6.5.3","title":"An Analysis of the Dynamic Linkages of Pakistani Stock Market with the World’s Leading Stock Markets","year":2022,"lang":"en","type":"article","venue":"Journal of Management Practices Humanities and Social Sciences","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Stock exchange; Cointegration; Financial economics; Stock market index; Stock market; Composite index; China; Augmented Dickey–Fuller test; Economics; Stock (firearms); Index (typography); Diversification (marketing strategy); Multivariate statistics; Portfolio; Capitalization-weighted index; Econometrics; Business; Geography; Mathematics; Statistics; Finance","authors":[{"name":"Sajad Ahmad","is_ca":false},{"name":"Naimat Ullah Khan","is_ca":false},{"name":"Mumtaz Hussain Shah","is_ca":false},{"name":"Muhammad Niaz Khan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05023834446300436,"gpt":0.2998763317514645,"spread":0.2496379872884602,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000368292,0.0001406482,0.0001572301,0.001433043,0.0003339094,0.0008749973,0.0001626647,0.0002690363,0.001964476],"category_scores_gemma":[0.001875422,0.0001215524,0.0002131762,0.001982129,0.0002044324,0.0008889706,0.0003582153,0.0003192054,0.0001653252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003975754,"about_ca_system_score_gemma":0.0005686071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01109946,"about_ca_topic_score_gemma":0.007658851,"domain_scores_codex":[0.9998965,0.00001771711,0.000007047945,0.00002399451,0.0000284746,0.00002623336],"domain_scores_gemma":[0.9990098,0.0004210454,0.000308049,0.00003386483,0.0001409898,0.00008611845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001288984,0.00008462492,0.9426685,0.00007283473,0.0001668331,0.002365247,0.000807829,0.008127375,0.002130937,0.007520153,0.00112592,0.03480088],"study_design_scores_gemma":[0.00000890264,0.00009761422,0.9674317,0.00001955836,0.00006860758,0.0004078854,0.001035482,0.02650846,0.0004322248,0.001729567,0.002243716,0.00001625081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996126,0.0002201824,0.0007075851,0.0001643158,0.000005527315,0.00001018454,0.0002571031,0.000006971373,0.002502113],"genre_scores_gemma":[0.9990385,0.0001835155,0.0002356934,0.000010648,0.00001057928,0.00000317583,0.0002014171,9.206863e-7,0.0003155904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01109946,"threshold_uncertainty_score":0.02206969,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4316088016","doi":"10.33152/jmphss-6.5.4","title":"Investigating the Relationship between Social Support and Coping Self-Efficacy with Consideration of Future Consequences during the Quarter-life Crisis","year":2022,"lang":"en","type":"article","venue":"Journal of Management Practices Humanities and Social Sciences","topic":"Psychological and Temporal Perspectives Research","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Psychology; Moderation; Coping (psychology); Quarter (Canadian coin); Social support; Nonprobability sampling; Clinical psychology; Social psychology; Developmental psychology; Demography; Population; Sociology","authors":[{"name":"Arubah Malik","is_ca":false},{"name":"Saria Rafiq","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2356813143939037,"gpt":0.4201794373591785,"spread":0.1844981229652748,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001088069,0.0002511968,0.000286836,0.0005747774,0.0006503137,0.0009799261,0.0002476807,0.000522829,0.0018779],"category_scores_gemma":[0.004316221,0.0002293081,0.0004672029,0.0003731679,0.0003907068,0.0004869493,0.0007751886,0.001155108,0.0001412906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003883048,"about_ca_system_score_gemma":0.0006994548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002075104,"about_ca_topic_score_gemma":0.006111339,"domain_scores_codex":[0.9995027,0.0001460209,0.00004629555,0.00005979628,0.00009230575,0.0001527913],"domain_scores_gemma":[0.9963951,0.0009360366,0.001375508,0.00009924743,0.0002593083,0.0009349402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005316768,0.0003822337,0.9883876,0.00004023064,0.00004741349,0.0001980025,0.004155907,0.00005630856,0.0002918155,0.00008131944,0.0001151002,0.006190833],"study_design_scores_gemma":[0.000002293245,0.0001410378,0.9926111,0.00001789302,0.00001239797,0.0001021562,0.006718171,0.0001149351,0.00004873742,0.0000471244,0.000179209,0.000004866378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993355,0.00008794603,0.00002543591,0.00009438589,0.000004443496,0.000008874039,0.0000246987,5.531568e-7,0.0004181739],"genre_scores_gemma":[0.9996662,0.0000698795,0.00004990093,0.00002250299,0.000003108661,0.00001062413,0.00003571145,3.076735e-7,0.0001417917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002075104,"threshold_uncertainty_score":0.00628221,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}