{"meta":{"query_hash":"79e386a9a49b","filters":{"venue":"Caai Transactions on Intelligent Systems"},"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/79e386a9a49b","api":"https://metacan.xera.ac/api/v1/cohort?venue=Caai+Transactions+on+Intelligent+Systems"},"results":[{"id":"W2356729089","doi":"","title":"Using wavelet transformation and a GM-ARMA model to forecast stock index","year":2011,"lang":"en","type":"article","venue":"Caai Transactions on Intelligent Systems","topic":"Grey System Theory Applications","field":"Decision Sciences","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":"Concordia University","funders":"","keywords":"Wavelet; Autoregressive–moving-average model; Transformation (genetics); Autoregressive model; Computer science; Mathematics; Mathematical optimization; Algorithm; Applied mathematics; Econometrics; Artificial intelligence","score_opus":0.41209792312177473,"score_gpt":0.39799878686005224,"score_spread":0.014099136261722489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2356729089","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.101459086,0.000041444095,0.89271283,0.00009192494,0.0006372004,0.0015824167,0.00012047856,0.000094447336,0.0032601869],"genre_scores_gemma":[0.99582213,0.0000060743905,0.002277633,0.00008969401,0.00003684409,0.00036799486,0.0000026622472,0.00003615155,0.0013608237],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965987,0.00026501005,0.0012357775,0.00062790926,0.0008999706,0.00037258407],"domain_scores_gemma":[0.99786645,0.0002757251,0.0002383913,0.0008502903,0.00040460457,0.00036453953],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018079531,0.00029403504,0.0004192375,0.00085698743,0.0004653818,0.00023373443,0.0005514035,0.00017183888,0.0001957776],"category_scores_gemma":[0.000053342366,0.00024817823,0.00016529171,0.00096791267,0.000089054905,0.0005036264,0.00000779484,0.00022481088,0.0004447665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007880727,0.0008891154,0.0008391443,0.00024283835,0.00030294328,0.000009215997,0.09221922,0.7043014,0.0043210946,0.06076,0.0010296555,0.13429727],"study_design_scores_gemma":[0.0002711889,0.00014532216,0.00011267668,0.00012952425,0.00005124138,0.00012383914,0.008178275,0.9779691,0.0051791808,0.0046372227,0.0028033282,0.0003990663],"about_ca_topic_score_codex":0.00027749347,"about_ca_topic_score_gemma":0.000105694206,"teacher_disagreement_score":0.89436305,"about_ca_system_score_codex":0.00019190359,"about_ca_system_score_gemma":0.00007972604,"threshold_uncertainty_score":0.999997},"labels":[],"label_agreement":null},{"id":"W2391639944","doi":"","title":"Forecasting stock indexes based on a revised grey model and the ARMA model","year":2010,"lang":"en","type":"article","venue":"Caai Transactions on Intelligent Systems","topic":"Grey System Theory Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Autoregressive–moving-average model; Autoregressive model; Mathematics; Computer science; Moving average; Moving-average model; Applied mathematics; Autoregressive integrated moving average; Econometrics; Statistics; Time series","score_opus":0.14143847114390767,"score_gpt":0.34586259968178773,"score_spread":0.20442412853788006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2391639944","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045888387,0.000052712985,0.94687045,0.000871063,0.0007304155,0.0019771948,0.0001128062,0.00011094515,0.0033860311],"genre_scores_gemma":[0.99456996,0.000005922239,0.00086619327,0.0002867238,0.000075351636,0.0009689058,0.0000029637526,0.000043182452,0.003180808],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958707,0.0004913609,0.0012195584,0.0007953824,0.0012538371,0.00036915054],"domain_scores_gemma":[0.9939509,0.0032133881,0.00043708767,0.0016742509,0.00048258237,0.00024179503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050694877,0.0003471523,0.0005391076,0.000495604,0.0008779735,0.0005524759,0.00094460236,0.00020386864,0.00009036208],"category_scores_gemma":[0.0006004734,0.00021652004,0.00028614188,0.00070582365,0.00036681964,0.0002199661,0.000011091996,0.000723433,0.00020099574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021482568,0.000099783036,0.00004963478,0.000027142112,0.000024663554,8.626611e-7,0.0008938041,0.9744183,0.00027516703,0.018519184,0.00032286573,0.0051537827],"study_design_scores_gemma":[0.0006131473,0.0000479877,0.0000062850822,0.00011314114,0.00004355308,0.000026956208,0.0006280796,0.9892982,0.00051643007,0.0076599405,0.0008195741,0.00022666532],"about_ca_topic_score_codex":0.000050251398,"about_ca_topic_score_gemma":0.00007492061,"teacher_disagreement_score":0.94868153,"about_ca_system_score_codex":0.00007603649,"about_ca_system_score_gemma":0.0001429871,"threshold_uncertainty_score":0.88294315},"labels":[],"label_agreement":null}]}