{"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3741594,0.0022030643,0.6111202,0.00024884846,0.00013294048,0.00042181124,0.0006341576,0.0029303317,0.0081492],"genre_scores_gemma":[0.788183,0.0014738168,0.20494512,0.00007653221,0.000049128867,0.000110340996,0.0009233867,0.00007510084,0.004163612],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919194,0.00009729229,0.00006858646,0.0001897578,0.00033424728,0.00011822164],"domain_scores_gemma":[0.99914515,0.00026256917,0.00011539363,0.00013675928,0.00030758372,0.000032503318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010139989,0.000741016,0.0007372466,0.0033800693,0.0004135171,0.0024478366,0.00064994814,0.0012875948,0.0025993823],"category_scores_gemma":[0.0018975341,0.0002667524,0.00068922096,0.0018625549,0.00044585613,0.0014262368,0.0005595701,0.0003627818,0.0016591619],"study_design_candidate":"simulation_or_modeling","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":[0.0008538345,0.00023511214,0.02455522,0.00076382386,0.00013597362,0.0006825004,0.00046903855,0.018555062,0.22664987,0.0021236308,0.0013505972,0.72362524],"study_design_scores_gemma":[0.000051961575,0.0010015899,0.17251939,0.00031743443,0.00031275695,0.0026481887,0.0024307426,0.52094513,0.27791834,0.0045029293,0.017218007,0.00013349895],"about_ca_topic_score_codex":0.0024767313,"about_ca_topic_score_gemma":0.0015214209,"teacher_disagreement_score":0.0033800693,"about_ca_system_score_codex":0.0004033006,"about_ca_system_score_gemma":0.0003266316,"threshold_uncertainty_score":0.008695841},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99602157,0.00017071106,0.00011147338,0.00008467324,0.000007562427,0.000009542915,0.00014341396,0.0000059769427,0.0034449673],"genre_scores_gemma":[0.9969182,0.00016643584,0.0001351472,0.00008538532,0.00000810785,0.000011723705,0.00011149608,0.0000031773275,0.0025604987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997863,0.000046927187,0.000018318893,0.000030089788,0.00006659592,0.000051731087],"domain_scores_gemma":[0.9991404,0.00017411594,0.00023210375,0.00003391334,0.0001670493,0.0002523151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002700576,0.00012998174,0.00014651941,0.0007260671,0.0002603949,0.00075370393,0.000095751144,0.00029714004,0.006949703],"category_scores_gemma":[0.0013456643,0.000099972254,0.00024008025,0.00044581085,0.00016455298,0.00049819483,0.00032621928,0.0003352811,0.0010016827],"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":[0.00049273035,0.00039820714,0.9124695,0.00014370773,0.000120292585,0.0008573838,0.010657634,0.0001808991,0.007155589,0.0005406194,0.002564302,0.06441913],"study_design_scores_gemma":[0.000009389243,0.0005984375,0.9787662,0.000030042078,0.000038302755,0.0015415113,0.010364335,0.0004354701,0.0003767336,0.000144283,0.007657162,0.00003810045],"about_ca_topic_score_codex":0.0021468664,"about_ca_topic_score_gemma":0.0026734967,"teacher_disagreement_score":0.006949703,"about_ca_system_score_codex":0.00014505078,"about_ca_system_score_gemma":0.0000704872,"threshold_uncertainty_score":0.02324903},"labels":[],"label_agreement":null}]}