{"meta":{"query_hash":"e6273781fc5d","filters":{"venue":"Journal of Competitiveness"},"cohort_total":4,"direct_labels_cover":0,"predictions_cover":4,"exported":4,"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/e6273781fc5d","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Competitiveness"},"results":[{"id":"W2183336507","doi":"10.7441/joc.2014.04.01","title":"An Empirical Study on Exploring Relationship among Information Quality, E-satisfaction, E-trust and Young Generation’s Commitment to Chinese Online Retailing","year":2014,"lang":"en","type":"article","venue":"Journal of Competitiveness","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":21,"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":"Structural equation modeling; Confirmatory factor analysis; Psychology; Sample (material); Quality (philosophy); Mainland China; Quarter (Canadian coin); Customer satisfaction; Information quality; Empirical research; Marketing; Social psychology; China; Business; Information system; Statistics; Mathematics; Political science","score_opus":0.09391113961613304,"score_gpt":0.347982082657982,"score_spread":0.25407094304184896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2183336507","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":[0.9994536,0.00003275624,0.000034816865,0.000037528574,0.0000012591391,0.0000037693803,0.000019466746,3.071379e-7,0.0004163976],"genre_scores_gemma":[0.999483,0.00007915628,0.000047625963,0.00002413916,0.0000018262225,0.00000450832,0.0000480266,3.2035842e-7,0.00031148453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99961275,0.00008709701,0.00003564466,0.000043658136,0.00010386389,0.000117040094],"domain_scores_gemma":[0.99784327,0.00066235056,0.00058112905,0.000093734474,0.00035585026,0.0004637059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009825615,0.00018052632,0.00017406119,0.0007690481,0.00072405254,0.000850372,0.00023764865,0.000305438,0.0027389496],"category_scores_gemma":[0.0021074193,0.00014535704,0.0002706618,0.0011583418,0.00042585292,0.0006924407,0.00052494725,0.00043402147,0.00016798511],"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":[0.000020560841,0.00013991616,0.98829854,0.000035459267,0.0000222662,0.00018045677,0.004543509,0.000049026974,0.00026379063,0.00040076865,0.00014645407,0.0058991904],"study_design_scores_gemma":[0.0000026290686,0.00007312283,0.99016005,0.000020772284,0.000018700073,0.00006202848,0.008756395,0.00027043468,0.000110725254,0.000070275615,0.00044989627,0.0000049563164],"about_ca_topic_score_codex":0.015773127,"about_ca_topic_score_gemma":0.025155662,"teacher_disagreement_score":0.015773127,"about_ca_system_score_codex":0.00075343,"about_ca_system_score_gemma":0.001455887,"threshold_uncertainty_score":0.031362593},"labels":[],"label_agreement":null},{"id":"W2814120368","doi":"10.7441/joc.2018.02.08","title":"THE CURRENT ACCOUNT AND OIL PRICE FLUCTUATIONS NEXUS IN NIGERIA","year":2018,"lang":"en","type":"article","venue":"Journal of Competitiveness","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":14,"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":"Nexus (standard); Oil price; Current (fluid); Economics; Monetary economics; Macroeconomics; Physics; Thermodynamics; Computer science","score_opus":0.017949043565005356,"score_gpt":0.2521501074192168,"score_spread":0.23420106385421144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2814120368","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":[0.9935982,0.000929085,0.0001784934,0.00039343425,0.000019733625,0.000005699105,0.0002899655,0.000002577477,0.004582794],"genre_scores_gemma":[0.9981242,0.0009135102,0.00007296862,0.000020777856,0.000009399834,0.000002758267,0.00019209331,0.000001362725,0.0006628641],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998698,0.000016867201,0.00001888473,0.000026375243,0.00003593134,0.000032210548],"domain_scores_gemma":[0.9994598,0.00013513767,0.00025042347,0.000011289101,0.00009915607,0.0000442302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002632544,0.000114358336,0.00018305947,0.00074096554,0.00033112138,0.0017534047,0.00009501949,0.00026657188,0.0012302517],"category_scores_gemma":[0.0012455501,0.00014671948,0.000113724665,0.0014049782,0.00027036856,0.0010576578,0.0004268963,0.00042412887,0.00015789056],"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":[0.00015150239,0.0000937421,0.9584415,0.000108047345,0.000051845785,0.0016360916,0.0018680092,0.0032100107,0.0011505098,0.011649984,0.0013070646,0.0203318],"study_design_scores_gemma":[0.000008126237,0.000054999637,0.972431,0.00016260259,0.000053356307,0.0004565498,0.006101867,0.008806903,0.0007488006,0.0030994872,0.008052364,0.000023969385],"about_ca_topic_score_codex":0.020145196,"about_ca_topic_score_gemma":0.025013573,"teacher_disagreement_score":0.020145196,"about_ca_system_score_codex":0.0007316135,"about_ca_system_score_gemma":0.00078397576,"threshold_uncertainty_score":0.04005587},"labels":[],"label_agreement":null},{"id":"W3125157368","doi":"10.7441/joc.2019.02.08","title":"Comparison of Bank Efficiencies between the US and Canada: Evidence Based on SFA and DEA","year":2019,"lang":"en","type":"article","venue":"Journal of Competitiveness","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":18,"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":"Economics; Business","score_opus":0.08516510642812683,"score_gpt":0.3775140225747911,"score_spread":0.29234891614666425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125157368","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":[0.8840084,0.02518492,0.008528604,0.002871926,0.000108221335,0.00015918992,0.023747416,0.00011774008,0.055273578],"genre_scores_gemma":[0.982486,0.0054994146,0.002335403,0.0002233411,0.000023442995,0.00003899637,0.007406149,0.000024176063,0.0019630275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99096996,0.0010019419,0.0005553387,0.0007192671,0.0056835283,0.0010700504],"domain_scores_gemma":[0.9686354,0.008430373,0.004902292,0.0013896022,0.01577215,0.00087031425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007249653,0.00062922016,0.0009943102,0.0063970345,0.0012773849,0.0030387496,0.0010295636,0.00035670341,0.00204676],"category_scores_gemma":[0.0316855,0.00023608831,0.0014802199,0.01755877,0.0012341382,0.0011766248,0.0011055535,0.0008335845,0.00019292303],"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":[0.00039626934,0.000095626674,0.8544433,0.0008744875,0.0022465352,0.00014043013,0.0009425463,0.013020853,0.00017444608,0.02079971,0.008293003,0.09857267],"study_design_scores_gemma":[0.000019847837,0.000049355564,0.97371745,0.00040888964,0.0005901452,0.00005042472,0.0017549198,0.0056992327,0.00052747957,0.0017309233,0.015392817,0.000058510603],"about_ca_topic_score_codex":0.9732771,"about_ca_topic_score_gemma":0.9700731,"teacher_disagreement_score":0.026722908,"about_ca_system_score_codex":0.020752415,"about_ca_system_score_gemma":0.030108588,"threshold_uncertainty_score":0.15057003},"labels":[],"label_agreement":null},{"id":"W4283722878","doi":"10.7441/joc.2022.02.09","title":"Proactive Environmental Strategies and Their Impact on Hotel Competitiveness During Crisis: The Case of the Czech Hotel Industry","year":2022,"lang":"en","type":"article","venue":"Journal of Competitiveness","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":8,"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":"Occupancy; Czech; Quarter (Canadian coin); Business; Tourism; Hotel industry; Accommodation; Marketing; Hospitality industry; Competitive advantage; Coronavirus disease 2019 (COVID-19); Geography; Engineering; Psychology","score_opus":0.01740070237444273,"score_gpt":0.30312098482097133,"score_spread":0.2857202824465286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283722878","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":[0.98560566,0.0003814074,0.00022009759,0.00064385065,0.000017993701,0.000022195662,0.000036523506,0.0000036444958,0.0130687],"genre_scores_gemma":[0.9993923,0.00014328373,0.000047277095,0.000028039858,0.0000020970654,0.000003646964,0.000009192035,0.0000014880605,0.00037265965],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99830127,0.00042024255,0.000054285796,0.000087314176,0.00021953903,0.00091735274],"domain_scores_gemma":[0.99887544,0.00020207529,0.00020571666,0.000043092845,0.00019173969,0.00048191583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017278377,0.00026775355,0.0002596222,0.00146405,0.0030481669,0.005449652,0.0006748401,0.0008690427,0.0022797023],"category_scores_gemma":[0.0018681919,0.00018120823,0.0006952103,0.0012054243,0.0024920662,0.0014833777,0.0037347744,0.0009897306,0.00016987823],"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":[0.0012735396,0.0013476876,0.6909423,0.0011984605,0.00038297023,0.03182458,0.13156864,0.014884254,0.0073645203,0.05528038,0.004770828,0.059161805],"study_design_scores_gemma":[0.00004954762,0.00035950416,0.51755303,0.00030331715,0.00011827442,0.0015075747,0.45497194,0.004160809,0.001141243,0.0030255,0.016663115,0.00014613189],"about_ca_topic_score_codex":0.061835546,"about_ca_topic_score_gemma":0.07837538,"teacher_disagreement_score":0.061835546,"about_ca_system_score_codex":0.005585979,"about_ca_system_score_gemma":0.005562909,"threshold_uncertainty_score":0.12295127},"labels":[],"label_agreement":null}]}