{"meta":{"query_hash":"cc7b29ff64fb","filters":{"venue":"Journal of Computer Sciences Institute"},"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/cc7b29ff64fb","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Computer+Sciences+Institute"},"results":[{"id":"W3039212661","doi":"10.35784/jcsi.1720","title":"Object classification using X-ray images","year":2020,"lang":"en","type":"article","venue":"Journal of Computer Sciences Institute","topic":"Smart Agriculture and AI","field":"Agricultural and Biological 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":"Kernel (algebra); Correctness; Mathematics; Object (grammar); Support vector machine; Pattern recognition (psychology); Artificial intelligence; Image processing; Perimeter; Image (mathematics); Computer vision; Computer science; Algorithm; Geometry; Combinatorics","score_opus":0.08059839552037869,"score_gpt":0.2659649649653751,"score_spread":0.1853665694449964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039212661","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":[0.98441994,0.00017191084,0.0068964018,0.006831434,0.0010404598,0.000058502363,0.0000021940382,0.000020973263,0.0005581891],"genre_scores_gemma":[0.98170805,0.000027476117,0.014267602,0.0013444076,0.002643278,2.3659031e-7,0.0000011088094,2.9110706e-7,0.0000075231546],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99900764,0.00004208397,0.00029546383,0.00015512541,0.00034680605,0.00015288034],"domain_scores_gemma":[0.9993966,0.0000463764,0.00027429516,0.000021092867,0.00013418055,0.00012742862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002885244,0.000092482354,0.00016533767,0.000016026548,0.00024074972,0.00018111269,0.0005122276,0.000038031852,0.000027266005],"category_scores_gemma":[0.00002597561,0.0000290764,0.00011298958,0.0005992119,0.00015966219,0.00081195764,0.000063116255,0.00012331564,0.000010563878],"study_design_candidate":"bench_or_experimental","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":[0.00003659494,0.00013400681,0.015826624,0.000012073125,0.00004489167,0.000075992575,0.00055533956,0.009220408,0.776093,0.001092817,0.016579883,0.18032838],"study_design_scores_gemma":[0.0006512313,0.0031767369,0.62723386,0.00019904602,0.00008758075,0.0004911835,0.0005237208,0.043194823,0.012639277,0.0005195278,0.31051224,0.00077078433],"about_ca_topic_score_codex":0.000010233158,"about_ca_topic_score_gemma":0.000006156175,"teacher_disagreement_score":0.7634537,"about_ca_system_score_codex":0.000014823429,"about_ca_system_score_gemma":0.000036958645,"threshold_uncertainty_score":0.18516766},"labels":[],"label_agreement":null},{"id":"W4283717364","doi":"10.35784/jcsi.2820","title":"Preferences of modern mobile app users","year":2022,"lang":"en","type":"article","venue":"Journal of Computer Sciences Institute","topic":"Intellectual Property Rights and Media","field":"Social 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":"Mobile apps; Internet privacy; Download; Mobile device; Product (mathematics); Quarter (Canadian coin); Computer science; Habit; World Wide Web; App store; Advertising; Business; Psychology; Geography","score_opus":0.06323184976065144,"score_gpt":0.3077628253367806,"score_spread":0.24453097557612918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283717364","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":[0.93311274,0.0008321167,0.026209518,0.0009857866,0.007839939,0.00025632035,0.0000040443206,0.000023629798,0.030735916],"genre_scores_gemma":[0.9911757,0.0001238398,0.0075696576,0.00018579274,0.00046259255,0.0000038513012,2.2749921e-7,0.0000027697754,0.00047553168],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979288,0.00019509895,0.00039851462,0.00013279592,0.0011139123,0.0002309084],"domain_scores_gemma":[0.9990953,0.00010695545,0.0003790816,0.00008727765,0.0002197014,0.000111658635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002004822,0.00007744866,0.00021888579,0.00021731074,0.00092121505,0.000077305005,0.0011284385,0.00002707206,0.00024109465],"category_scores_gemma":[0.000058087604,0.00005098377,0.00011348072,0.00052031246,0.0011943337,0.000699727,0.00016327106,0.00022634352,0.0000030129443],"study_design_candidate":"not_applicable","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":[0.00016124609,0.0006072987,0.0009837988,0.00003471048,0.00012722304,0.000057680485,0.1763752,0.19023089,0.0006333802,0.07417072,0.022084799,0.534533],"study_design_scores_gemma":[0.000525663,0.0022917204,0.00015471011,0.000063681,0.000028935308,0.00007025362,0.0029211862,0.014402302,0.0005711371,0.014315866,0.9644072,0.00024734737],"about_ca_topic_score_codex":0.00019327403,"about_ca_topic_score_gemma":0.00012294596,"teacher_disagreement_score":0.9423224,"about_ca_system_score_codex":0.00007321761,"about_ca_system_score_gemma":0.0011473546,"threshold_uncertainty_score":0.70853347},"labels":[],"label_agreement":null}]}