{"meta":{"query_hash":"e1c51874c4be","filters":{"venue":"Journal of Hunan University of Arts and Science"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"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/e1c51874c4be","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Hunan+University+of+Arts+and+Science"},"results":[{"id":"W2358642374","doi":"","title":"Effect of smoking regime on aromatic amines yields in mainstream cigarette smoke","year":2013,"lang":"en","type":"article","venue":"Journal of Hunan University of Arts and Science","topic":"Air Quality and Health Impacts","field":"Environmental Science","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":"Sidestream smoke; Chemistry; tar (computing); Smoke; Cigarette smoke; Aromatic amine; Organic chemistry; Environmental chemistry; Waste management; Toxicology; Engineering","score_opus":0.018652169324173025,"score_gpt":0.246790367096993,"score_spread":0.22813819777282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2358642374","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":[0.9964702,0.000011880766,0.000020949388,0.0010249021,0.000041535703,0.0000700061,4.7656115e-7,0.0000014439653,0.002358569],"genre_scores_gemma":[0.99958354,0.00003379045,0.00020324209,0.00011597697,0.0000053554813,1.8024263e-8,3.644724e-8,0.0000012047545,0.00005682974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914044,0.000050624523,0.0001798303,0.000094498166,0.00037377264,0.00016081837],"domain_scores_gemma":[0.9993273,0.00013230476,0.00029481697,0.0000931383,0.000014540602,0.00013792708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011100977,0.000055994828,0.00018573564,0.0001303899,0.00012157324,0.000011416384,0.00023187383,0.00003096916,0.000115334864],"category_scores_gemma":[0.00010886713,0.000045712295,0.000032794476,0.0002215979,0.00071757083,0.0005165395,0.000069904,0.00011028941,0.0000019939803],"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":[0.0002587357,0.00027529473,0.84663147,0.00021455662,0.000017085033,0.000083145314,0.010469257,0.0010910224,0.011099126,0.00040367641,0.0018407465,0.1276159],"study_design_scores_gemma":[0.0005637507,0.0019804752,0.99099565,0.00029687423,0.0000117036025,0.000020072115,0.0011599112,0.0006663624,0.003652224,0.00035547686,0.0002221349,0.000075344935],"about_ca_topic_score_codex":0.000690617,"about_ca_topic_score_gemma":0.00008954501,"teacher_disagreement_score":0.14436421,"about_ca_system_score_codex":0.00007131301,"about_ca_system_score_gemma":0.000027114918,"threshold_uncertainty_score":0.26439196},"labels":[],"label_agreement":null},{"id":"W2364534690","doi":"","title":"The application of ARIMA model in forecasting sales price indices of houses and realizing in SAS","year":2010,"lang":"en","type":"article","venue":"Journal of Hunan University of Arts and Science","topic":"Forecasting Techniques and Applications","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":"Autoregressive integrated moving average; Quarter (Canadian coin); Time series; Econometrics; Box–Jenkins; Index (typography); Engineering; Operations research; Statistics; Computer science; Economics; Mathematics; Geography","score_opus":0.09179096718355938,"score_gpt":0.3302810404510842,"score_spread":0.2384900732675248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2364534690","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":[0.9936381,0.00003568312,0.0054021277,0.00022829865,0.0000082346105,0.00005248148,0.0000018336165,0.000001265394,0.00063198205],"genre_scores_gemma":[0.98386943,0.00006616844,0.016050043,0.0000030633246,0.0000029479665,4.518166e-8,3.028758e-8,9.011301e-7,0.000007362243],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999152,0.000013840871,0.0002975758,0.00010208731,0.0003574474,0.0000770485],"domain_scores_gemma":[0.9985687,0.00034981716,0.0006866859,0.00011899279,0.00023905157,0.00003674879],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028736142,0.00003309555,0.00012994761,0.00028807792,0.00015347259,0.000025800558,0.00044491174,0.000021841603,5.6804726e-7],"category_scores_gemma":[0.00038899222,0.000023516905,0.00002035217,0.0004980738,0.000875789,0.00032678182,0.00011265635,0.00010036615,3.2010213e-8],"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":[0.00015634265,0.00022635765,0.41319197,0.00004391601,0.0000068181307,0.000005989494,0.015648277,0.0037219073,0.20454864,0.12802777,0.00013400291,0.23428799],"study_design_scores_gemma":[0.0006517766,0.00035955998,0.5050287,0.00024053945,0.000015318961,0.00006965288,0.020073423,0.37384403,0.008972311,0.08918684,0.0013904006,0.0001674588],"about_ca_topic_score_codex":0.00018822082,"about_ca_topic_score_gemma":0.001216617,"teacher_disagreement_score":0.3701221,"about_ca_system_score_codex":0.000008156094,"about_ca_system_score_gemma":0.00010205755,"threshold_uncertainty_score":0.3226881},"labels":[],"label_agreement":null},{"id":"W2382629278","doi":"","title":"Preparation and characterization of nano Al-SnO_2 composite materials","year":2010,"lang":"en","type":"article","venue":"Journal of Hunan University of Arts and Science","topic":"Gas Sensing Nanomaterials and Sensors","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":"Materials science; Polyvinyl alcohol; Sodium aluminate; Tin oxide; Fourier transform infrared spectroscopy; Composite number; Chemical engineering; Transmission electron microscopy; Particle size; Dispersion (optics); Nanoparticle; Nano-; Aqueous solution; Scanning electron microscope; Composite material; Oxide; Nanotechnology; Chemistry; Metallurgy; Organic chemistry; Aluminium","score_opus":0.005420327033092016,"score_gpt":0.18607087311516848,"score_spread":0.18065054608207648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2382629278","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":[0.99951255,0.0000047449985,0.00008136415,0.000049211045,0.00024772962,0.000023822984,0.000004188658,0.0000035148466,0.000072854484],"genre_scores_gemma":[0.99894714,0.0000649752,0.0009596924,0.000003959039,0.00001095051,1.7384696e-9,3.980004e-7,0.0000015687913,0.000011313428],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996774,0.000006618071,0.00011936352,0.00004466697,0.00009835625,0.00005355158],"domain_scores_gemma":[0.99968505,0.000007083081,0.00012881296,0.000042359865,0.00009668887,0.000039995793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021426138,0.000034649216,0.0001169675,0.00009336544,0.0000667923,0.00002433074,0.000056283017,0.000018629855,0.000009726384],"category_scores_gemma":[0.000005963861,0.000033258977,0.000010694673,0.000053629654,0.00020074924,0.00029851633,0.000015833608,0.000024131175,1.5454465e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001732237,0.0000053726108,0.00041761994,0.000012116859,0.0000027583983,0.0000019038933,0.00067040103,0.000025671641,0.99853,0.00008020514,0.0000067557244,0.00022992138],"study_design_scores_gemma":[0.00019009128,0.000105846535,0.11015071,0.000038717037,0.000011065521,0.00005365556,0.00011303428,0.00080828497,0.8879356,0.000018615425,0.00052621565,0.000048165417],"about_ca_topic_score_codex":0.000008293336,"about_ca_topic_score_gemma":0.000005853612,"teacher_disagreement_score":0.110594355,"about_ca_system_score_codex":0.000004390351,"about_ca_system_score_gemma":0.000014928668,"threshold_uncertainty_score":0.13562617},"labels":[],"label_agreement":null}]}