{"meta":{"query_hash":"c8a124903c4d","filters":{"venue":"South Asian Journal of Social Studies and Economics"},"cohort_total":11,"direct_labels_cover":0,"predictions_cover":11,"exported":11,"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/c8a124903c4d","api":"https://metacan.xera.ac/api/v1/cohort?venue=South+Asian+Journal+of+Social+Studies+and+Economics"},"results":[{"id":"W2943310035","doi":"10.9734/sajsse/2019/v3i330105","title":"IFRS Adoption and Bank Performance in Nigeria and Canada Banks","year":2019,"lang":"en","type":"article","venue":"South Asian Journal of Social Studies and Economics","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","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":"International Financial Reporting Standards; Accounting; Business; Audit; Order (exchange); Earnings; Finance","score_opus":0.024215174005526346,"score_gpt":0.24266572932332156,"score_spread":0.21845055531779523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943310035","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":[0.9968509,0.00021448174,0.000044083543,0.00044971902,0.000008610678,0.000012278926,0.00015051867,0.0000035850655,0.0022658247],"genre_scores_gemma":[0.99871516,0.00030872738,0.00011244349,0.00003785182,0.000004014628,0.0000032119806,0.00012136979,0.0000011856946,0.00069606106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846774,0.00020424933,0.00013773768,0.00012664158,0.0006538441,0.00040985175],"domain_scores_gemma":[0.9867927,0.0010662539,0.0057505434,0.0003264741,0.0047968565,0.0012671626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014363272,0.00015005229,0.00015990934,0.00095954025,0.0011807346,0.002191125,0.00028216935,0.00028706255,0.0011059701],"category_scores_gemma":[0.0081983525,0.00011525769,0.00017913556,0.002018423,0.0007244964,0.00053103594,0.00061069767,0.0007947179,0.00011166012],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039126044,0.000049098137,0.9850943,0.000025740688,0.000013010902,0.00017943737,0.0020234843,0.00016602558,0.00030621348,0.0003104939,0.0005038518,0.011289131],"study_design_scores_gemma":[0.0000015244614,0.0000199537,0.99205244,0.000049380895,0.000010177931,0.00007955271,0.005524534,0.00015998694,0.00018779382,0.000025949787,0.0018783548,0.000010425844],"about_ca_topic_score_codex":0.6910915,"about_ca_topic_score_gemma":0.80020565,"teacher_disagreement_score":0.30890852,"about_ca_system_score_codex":0.0076761683,"about_ca_system_score_gemma":0.010966955,"threshold_uncertainty_score":0.62145543},"labels":[],"label_agreement":null},{"id":"W3033561173","doi":"10.9734/sajsse/2020/v6i330169","title":"Export Performance of Coconut Sector of Sri Lanka","year":2020,"lang":"en","type":"article","venue":"South Asian Journal of Social Studies and Economics","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":5,"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":"Sri lanka; Business; Market share; Agricultural economics; Cash; Agricultural science; Socioeconomics; Economics; Marketing; Finance; Biology","score_opus":0.030671347368053638,"score_gpt":0.20744755036556425,"score_spread":0.17677620299751062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033561173","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":[0.9894442,0.00023833425,0.0000576588,0.00010141994,0.000004024536,0.00001306048,0.0020712775,0.00001901739,0.00805115],"genre_scores_gemma":[0.9939818,0.0003296052,0.0001734522,0.000021672768,0.000007383738,0.000010284677,0.0027771003,0.000008581181,0.0026901593],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974376,0.000034575132,0.00003633242,0.00004662302,0.00006094437,0.00007780243],"domain_scores_gemma":[0.9990145,0.00014726084,0.00035625472,0.000046416582,0.0003281426,0.00010755499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035381652,0.00037542268,0.00016503727,0.0020093168,0.00033643312,0.0014235929,0.00028696595,0.00017035757,0.0056067524],"category_scores_gemma":[0.0010871222,0.00009482904,0.0002668399,0.0026285995,0.00035233813,0.00070869416,0.0005245071,0.00020165203,0.0010954865],"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":[0.00019517404,0.00006822929,0.9666408,0.00030307026,0.00005624744,0.0012252805,0.0035907023,0.0004418314,0.0036380559,0.000632814,0.002062916,0.021144997],"study_design_scores_gemma":[0.0000025091958,0.000110616835,0.98999083,0.00004622194,0.000019123621,0.0003631569,0.005610043,0.00036067664,0.0006018697,0.000057833106,0.0028256213,0.0000115131015],"about_ca_topic_score_codex":0.01703626,"about_ca_topic_score_gemma":0.013972138,"teacher_disagreement_score":0.01703626,"about_ca_system_score_codex":0.00072481093,"about_ca_system_score_gemma":0.000480186,"threshold_uncertainty_score":0.033874214},"labels":[],"label_agreement":null},{"id":"W3089606157","doi":"10.9734/sajsse/2020/v8i130202","title":"Policy Mix and Non-Oil Output in Nigeria: The Case of Fiscal and Monetary Policies","year":2020,"lang":"en","type":"article","venue":"South Asian Journal of Social Studies and Economics","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Error correction model; Economics; Policy mix; Short run; Unit root; Fiscal policy; Order (exchange); Exchange rate; Money supply; Monetary economics; Monetary policy; Gross fixed capital formation; Capital (architecture); Macroeconomics; Econometrics; Cointegration; Gross domestic product; Finance","score_opus":0.03536803128780246,"score_gpt":0.2363136871369238,"score_spread":0.20094565584912133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089606157","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":[0.9898942,0.002147195,0.00022104157,0.0009664911,0.000024922401,0.000012545067,0.00016648171,0.0000025855395,0.0065646004],"genre_scores_gemma":[0.99719316,0.0014014865,0.00010314635,0.00004562013,0.000012938146,0.000006873338,0.00009243766,0.0000025809306,0.0011417783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958235,0.00015293335,0.000036666643,0.000042421147,0.000042383293,0.00014322424],"domain_scores_gemma":[0.99826956,0.00089725864,0.0005086655,0.000039160102,0.0001528676,0.00013249536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010975725,0.00026862393,0.00043168664,0.0008172581,0.00067483494,0.002570044,0.0002342305,0.0007960037,0.0029584372],"category_scores_gemma":[0.002613755,0.00020186057,0.00038743438,0.0013756198,0.00050126004,0.0013692583,0.00103059,0.0011518,0.00017474384],"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":[0.0014971304,0.0006477569,0.85204536,0.0006989076,0.00044168023,0.010306847,0.0037443629,0.030572552,0.0022091467,0.06519928,0.002133255,0.030503768],"study_design_scores_gemma":[0.00009680991,0.00051096774,0.87328553,0.00069922884,0.000466902,0.0013769498,0.033254042,0.049532864,0.0020425518,0.024473123,0.014170083,0.00009093765],"about_ca_topic_score_codex":0.021378228,"about_ca_topic_score_gemma":0.02366905,"teacher_disagreement_score":0.021378228,"about_ca_system_score_codex":0.0019670133,"about_ca_system_score_gemma":0.001206819,"threshold_uncertainty_score":0.04250759},"labels":[],"label_agreement":null},{"id":"W3094355810","doi":"10.9734/sajsse/2020/v8i230206","title":"Affordable Housing in the Wake of Global Pandemics: A Reality or a Mirage the Kenyan Perspective?","year":2020,"lang":"en","type":"article","venue":"South Asian Journal of Social Studies and Economics","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":"Quarter (Canadian coin); Kenya; Real estate; Pandemic; Economics; Inflation (cosmology); Distributed lag; Coronavirus disease 2019 (COVID-19); Business; Development economics; Economic growth; Geography; Finance; Political science","score_opus":0.08355682355137992,"score_gpt":0.27608390245015846,"score_spread":0.19252707889877854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094355810","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":[0.8917845,0.01599001,0.0007145097,0.06450526,0.00066644204,0.0001454325,0.00083768315,0.000007111053,0.025349056],"genre_scores_gemma":[0.98719007,0.0070114457,0.00050097913,0.0031788235,0.0002744949,0.000039922226,0.00013487741,0.0000052081778,0.0016641442],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99860436,0.000743314,0.000057018904,0.00014730965,0.00018436319,0.00026355695],"domain_scores_gemma":[0.9975762,0.0006800101,0.0011802693,0.00006557573,0.00029484733,0.00020318919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021298837,0.00026572362,0.00024224138,0.00060573296,0.0015834144,0.0033697565,0.0004339838,0.00139911,0.0042676996],"category_scores_gemma":[0.0044934666,0.00020787674,0.00027993435,0.0010208674,0.0023027633,0.0045643193,0.0014779563,0.0015729099,0.00025140314],"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":[0.00042977073,0.0005235807,0.6704308,0.0038929314,0.00032464537,0.006970326,0.12915456,0.0009906552,0.001851061,0.04862488,0.036707822,0.10009911],"study_design_scores_gemma":[0.000021203601,0.00044333644,0.5129441,0.0025452685,0.000117230884,0.0013207078,0.41318625,0.00079726125,0.000728696,0.005360886,0.062442344,0.00009267272],"about_ca_topic_score_codex":0.011939528,"about_ca_topic_score_gemma":0.032551393,"teacher_disagreement_score":0.011939528,"about_ca_system_score_codex":0.0024669748,"about_ca_system_score_gemma":0.0026606242,"threshold_uncertainty_score":0.023740053},"labels":[],"label_agreement":null},{"id":"W3107762899","doi":"10.9734/sajsse/2020/v8i330212","title":"Banking Communications: A Perceptual Study of Customer Relations","year":2020,"lang":"en","type":"article","venue":"South Asian Journal of Social Studies and Economics","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Business; Prosperity; Customer satisfaction; Marketing; Retail banking; Context (archaeology); Customer retention; Work (physics); Perception; Profitability index; Service (business); Service quality; Finance; Economics; Engineering","score_opus":0.08839230709775087,"score_gpt":0.2865312893994378,"score_spread":0.19813898230168692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107762899","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":[0.98548514,0.00024147985,0.00045429292,0.0006164782,0.000020295865,0.000031567906,0.000026915772,0.0000041763233,0.013119746],"genre_scores_gemma":[0.9988016,0.00013316989,0.00015723336,0.00016618922,0.0000074672944,0.000013606211,0.000010686117,0.0000022765296,0.000707735],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9981248,0.0012040077,0.000055170214,0.00009412601,0.00033900893,0.00018286819],"domain_scores_gemma":[0.9940613,0.0036776897,0.00080753694,0.00017028069,0.00077999494,0.00050312205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021238048,0.00015586773,0.00018707379,0.0007612841,0.001791158,0.0036715441,0.00026321848,0.0006917287,0.003696279],"category_scores_gemma":[0.007208078,0.00017058318,0.00018924497,0.00086385716,0.0014414603,0.0020572706,0.0013391847,0.0010746015,0.00026971562],"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":[0.00034420475,0.0006660872,0.1477846,0.0005065908,0.000053390664,0.0014837398,0.78510356,0.00021907676,0.0047294926,0.007981959,0.004684782,0.046442505],"study_design_scores_gemma":[0.000017768783,0.00056152797,0.15288192,0.00012400253,0.000025085426,0.00081633456,0.83133316,0.000812738,0.00033431864,0.0016493597,0.011402554,0.000041246698],"about_ca_topic_score_codex":0.0023814861,"about_ca_topic_score_gemma":0.0026637996,"teacher_disagreement_score":0.003696279,"about_ca_system_score_codex":0.0006383333,"about_ca_system_score_gemma":0.00074089813,"threshold_uncertainty_score":0.012365341},"labels":[],"label_agreement":null},{"id":"W3209705167","doi":"10.9734/sajsse/2021/v12i430316","title":"Constraints Faced by the Farmers in Practicing Coping Strategies towards Household Food Security during Flood","year":2021,"lang":"en","type":"article","venue":"South Asian Journal of Social Studies and Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"123 Certification (Canada)","funders":"Social Science Research Council","keywords":"Flood myth; Food security; Agriculture; Business; Coping (psychology); Environmental planning; Focus group; Environmental resource management; Economic growth; Geography; Marketing; Economics; Psychology","score_opus":0.029619543560332137,"score_gpt":0.2343222371056708,"score_spread":0.20470269354533865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209705167","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":[0.99858665,0.00004715594,0.00007499966,0.00019252168,0.0000021714934,0.000017304492,0.000035529985,0.0000010049193,0.0010426936],"genre_scores_gemma":[0.99891055,0.00016137923,0.00016185365,0.000037450136,0.0000017526255,0.000025851328,0.00002632166,6.878504e-7,0.0006740912],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99916637,0.00034026106,0.000051640367,0.00006563662,0.000110650464,0.0002653577],"domain_scores_gemma":[0.99874985,0.00048435354,0.0003491244,0.0000398589,0.00017818873,0.00019860937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092967233,0.00019968268,0.00026534742,0.00048503652,0.0022698864,0.0011805997,0.00034123697,0.0005289052,0.0027319398],"category_scores_gemma":[0.0024644649,0.00024301195,0.00013383744,0.0008056026,0.0011375118,0.0007658938,0.0010809215,0.0003892517,0.0001777787],"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":[0.00023570438,0.0002344448,0.38879845,0.0003918842,0.000038407565,0.0069469893,0.5605948,0.0004957678,0.009166031,0.0013181593,0.0011521995,0.03062717],"study_design_scores_gemma":[0.0000061985656,0.00019384675,0.18052664,0.00006141803,0.000010383357,0.0005670597,0.81293553,0.00016083784,0.00039632816,0.00042031892,0.004689658,0.000031759013],"about_ca_topic_score_codex":0.0089115435,"about_ca_topic_score_gemma":0.019530248,"teacher_disagreement_score":0.0089115435,"about_ca_system_score_codex":0.0009798164,"about_ca_system_score_gemma":0.0011900001,"threshold_uncertainty_score":0.017719328},"labels":[],"label_agreement":null},{"id":"W3212400567","doi":"10.9734/sajsse/2021/v12i430318","title":"The Determinants of Online Stock Investment in Malaysia: A Case in Early Phase of COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"South Asian Journal of Social Studies and Economics","topic":"Technology Adoption and User Behaviour","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":"Expectancy theory; Structural equation modeling; Quarter (Canadian coin); Stock (firearms); Investment decisions; Business; Computer-assisted web interviewing; Marketing; Psychology; Actuarial science; Computer science; Behavioral economics; Finance; Engineering; Social psychology","score_opus":0.21137360941516495,"score_gpt":0.4356024334897409,"score_spread":0.22422882407457598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212400567","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":[0.998757,0.00006624221,0.000032919143,0.0001717401,0.0000022781353,0.000008178631,0.000052340467,9.085366e-7,0.0009084743],"genre_scores_gemma":[0.99925405,0.00009920536,0.000043009437,0.000025507143,0.0000022746328,0.0000046296727,0.00004656775,6.508801e-7,0.00052409415],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948823,0.00011651537,0.00003556064,0.000046492965,0.0000877491,0.000225533],"domain_scores_gemma":[0.9985013,0.00030024262,0.00053049746,0.000054412376,0.00015471019,0.00045883722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006089186,0.00019957285,0.00018542011,0.0006559182,0.000723296,0.0014020951,0.0003791519,0.00043018605,0.0031862461],"category_scores_gemma":[0.0015438367,0.00017108292,0.00025583417,0.0007347875,0.00040273144,0.0007881428,0.0008517226,0.0009863935,0.000290498],"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":[0.000035806603,0.00022978957,0.9881451,0.000020217249,0.00001018122,0.0010491754,0.0028304323,0.000081583596,0.0001421617,0.00065035926,0.0003176799,0.0064875456],"study_design_scores_gemma":[0.0000024061533,0.00009677891,0.9799232,0.00005511704,0.0000133915,0.0004717201,0.017074969,0.00094994786,0.00016940887,0.00015220974,0.0010815673,0.000009259528],"about_ca_topic_score_codex":0.035307053,"about_ca_topic_score_gemma":0.04810538,"teacher_disagreement_score":0.035307053,"about_ca_system_score_codex":0.001355592,"about_ca_system_score_gemma":0.0018556992,"threshold_uncertainty_score":0.070203066},"labels":[],"label_agreement":null},{"id":"W4312214386","doi":"10.9734/sajsse/2022/v16i4623","title":"Participation of Women in the Workforce: A Comparative Study between Central and Western Plains of West Bengal","year":2022,"lang":"en","type":"article","venue":"South Asian Journal of Social Studies and Economics","topic":"Agricultural risk and resilience","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":"Workforce; West bengal; Socioeconomics; Scale (ratio); Geography; Population; Socioeconomic status; Quarter (Canadian coin); Service (business); Demography; Economic growth; Business; Sociology; Economics","score_opus":0.05608701315107723,"score_gpt":0.28423667318720525,"score_spread":0.22814966003612802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312214386","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":[0.99924743,0.00013635028,0.000017286064,0.0000642358,0.000003100512,0.000009766244,0.00004560703,8.93952e-7,0.0004754511],"genre_scores_gemma":[0.99870276,0.0003636593,0.000033949796,0.00007653697,0.0000078017765,0.000020891423,0.000055418637,0.0000016340753,0.0007371556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995372,0.0001260362,0.00003000788,0.000047813406,0.00006362915,0.000195261],"domain_scores_gemma":[0.9995278,0.0001274707,0.00011979859,0.000018743387,0.000057028545,0.00014917622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047610927,0.0003526623,0.00033087464,0.0015724441,0.0016891654,0.0012381874,0.00066551706,0.000550567,0.003028696],"category_scores_gemma":[0.0010217358,0.0003880515,0.00030153545,0.0019398486,0.0009907226,0.0007740481,0.00094143575,0.0003695116,0.00062394823],"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":[0.00023999537,0.00052852056,0.7600655,0.00026432492,0.000064096275,0.0038596983,0.2170973,0.000047954232,0.003382754,0.00041816398,0.00045176828,0.013579921],"study_design_scores_gemma":[0.00000615732,0.00044286286,0.8128723,0.000047144553,0.00002174084,0.0009192671,0.18324779,0.000057821464,0.00018463437,0.00004296595,0.0021430762,0.000014325266],"about_ca_topic_score_codex":0.040582225,"about_ca_topic_score_gemma":0.07170861,"teacher_disagreement_score":0.040582225,"about_ca_system_score_codex":0.001127478,"about_ca_system_score_gemma":0.00080921093,"threshold_uncertainty_score":0.08069205},"labels":[],"label_agreement":null},{"id":"W4362698349","doi":"10.9734/sajsse/2023/v18i3656","title":"Employer-sponsored Health Insurance (ESHI) Scheme- A New Model of Health Micro Insurance for the Garment Workers in Bangladesh","year":2023,"lang":"en","type":"article","venue":"South Asian Journal of Social Studies and Economics","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Global Health Research","funders":"","keywords":"Salary; Business; Health care; Total cost; Medicine; Environmental health; Actuarial science; Economic growth; Economics","score_opus":0.1109170311841715,"score_gpt":0.30758260149992256,"score_spread":0.19666557031575105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362698349","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":[0.9903867,0.000627816,0.0004992623,0.0007160785,0.000024432982,0.00028370463,0.003339359,0.00001688802,0.0041057505],"genre_scores_gemma":[0.9954731,0.00056164706,0.0005450626,0.00014002157,0.000023810055,0.00020538484,0.001413259,0.0000024262663,0.0016352431],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99930954,0.0002328872,0.000103782986,0.00007702132,0.00016209937,0.00011463947],"domain_scores_gemma":[0.999131,0.000114297305,0.00038648638,0.00007765574,0.00007828743,0.00021233372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007881149,0.00017625288,0.00021095686,0.0006309914,0.0005505707,0.00055156107,0.00039566663,0.00027565836,0.004984875],"category_scores_gemma":[0.0013614803,0.00017340487,0.0002346402,0.0010721285,0.0003416523,0.00059317873,0.000787137,0.00042607158,0.0005492278],"study_design_candidate":"theoretical_or_conceptual","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":[0.00029584367,0.00034848598,0.95417094,0.00018598401,0.000047209207,0.00055314536,0.00095888,0.00024757898,0.00068809465,0.00079948443,0.0025542728,0.039150093],"study_design_scores_gemma":[0.00006874839,0.000765501,0.98686826,0.00014106793,0.00003894414,0.0010984569,0.0020314723,0.0004891423,0.00019797601,0.00019962527,0.0080804685,0.000020376985],"about_ca_topic_score_codex":0.013696092,"about_ca_topic_score_gemma":0.021063777,"teacher_disagreement_score":0.013696092,"about_ca_system_score_codex":0.0013132653,"about_ca_system_score_gemma":0.0012386285,"threshold_uncertainty_score":0.027232766},"labels":[],"label_agreement":null},{"id":"W4394785632","doi":"10.9734/sajsse/2024/v21i5818","title":"Determinants of Access to Financial Services among Adults in Tanzania: The Evidence from FinScope Tanzania Survey (2017)","year":2024,"lang":"en","type":"article","venue":"South Asian Journal of Social Studies and Economics","topic":"Microfinance and Financial Inclusion","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":"Financial inclusion; Tanzania; Financial institution; Financial services; Business; Government (linguistics); Finance; Developing country; Quarter (Canadian coin); Descriptive statistics; Economic growth; Economics; Socioeconomics; Geography","score_opus":0.060183729210254576,"score_gpt":0.2883080798116939,"score_spread":0.2281243506014393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394785632","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":[0.9960824,0.0008642355,0.000029365501,0.0004865133,0.000007508114,0.000016694661,0.0019376548,0.0000025055908,0.0005731429],"genre_scores_gemma":[0.9982217,0.0005765946,0.000067762274,0.000100862904,0.000009160295,0.00001806652,0.0008267962,8.209439e-7,0.00017820629],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997135,0.0000785351,0.000045817724,0.000028065031,0.000047367128,0.00008680525],"domain_scores_gemma":[0.99860114,0.0002888214,0.0006688066,0.000038577193,0.00017943422,0.00022324093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069750776,0.00018555278,0.00017736437,0.0008556989,0.00035736698,0.0003569111,0.00029470387,0.00026797497,0.0015651262],"category_scores_gemma":[0.0021630628,0.00018564532,0.00031957842,0.0013318438,0.00024111413,0.00044006854,0.0006085464,0.00045883877,0.00018051565],"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":[0.00003676731,0.000037161743,0.99336535,0.00013276085,0.0000268892,0.000116262374,0.0009054186,0.00002739918,0.000059161914,0.000082593375,0.0010949994,0.004115239],"study_design_scores_gemma":[0.0000028825125,0.000039316117,0.9983602,0.000092582915,0.000022421462,0.000052802035,0.0009010404,0.000059268717,0.00001979155,0.000020408881,0.00042685747,0.0000023362873],"about_ca_topic_score_codex":0.04332248,"about_ca_topic_score_gemma":0.06478154,"teacher_disagreement_score":0.04332248,"about_ca_system_score_codex":0.0004399046,"about_ca_system_score_gemma":0.0006816257,"threshold_uncertainty_score":0.08614063},"labels":[],"label_agreement":null},{"id":"W4403955452","doi":"10.9734/sajsse/2024/v21i11902","title":"Digital Leadership Impacts on a Village-owned Enterprise Performance: A Moderation Effect of Artificial Intelligence","year":2024,"lang":"en","type":"article","venue":"South Asian Journal of Social Studies and Economics","topic":"Employee Performance and Leadership","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Moderation; Business; Knowledge management; Psychology; Computer science; Social psychology","score_opus":0.06179859074900436,"score_gpt":0.26622607733534204,"score_spread":0.2044274865863377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403955452","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":[0.99634016,0.000032961627,0.00020887,0.00012302875,0.0000073285482,0.000018864495,0.000029344934,0.0000045678344,0.0032347273],"genre_scores_gemma":[0.99952185,0.000012048089,0.00007444977,0.000012572711,0.000003071529,0.00000816341,0.000012890679,0.0000013025991,0.00035367263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970745,0.0016239935,0.00008954822,0.00032630385,0.0003132517,0.0005725517],"domain_scores_gemma":[0.98846185,0.0066285837,0.0017290761,0.00045466764,0.000945601,0.0017802299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001991248,0.0002470022,0.0003007273,0.00044668163,0.00094247627,0.0015001434,0.00038001675,0.00033168346,0.0059575094],"category_scores_gemma":[0.009026292,0.00008865265,0.00020180996,0.0004557864,0.0010077058,0.0008013471,0.0021210194,0.0005486659,0.00041560887],"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":[0.0009317557,0.0019737878,0.9097765,0.00021323799,0.0002212694,0.00087261974,0.0220618,0.0009006765,0.004684454,0.0026625928,0.00077226775,0.05492897],"study_design_scores_gemma":[0.00003464102,0.0009996041,0.96955365,0.000062351995,0.000074794356,0.0001050505,0.023018934,0.0011682779,0.001076613,0.00092623895,0.002960888,0.000018849178],"about_ca_topic_score_codex":0.0028230743,"about_ca_topic_score_gemma":0.0039832536,"teacher_disagreement_score":0.0059575094,"about_ca_system_score_codex":0.0007689979,"about_ca_system_score_gemma":0.000981279,"threshold_uncertainty_score":0.019929886},"labels":[],"label_agreement":null}]}