{"meta":{"query_hash":"33f0124c340d","filters":{"venue":"Acta Informatica Pragensia"},"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/33f0124c340d","api":"https://metacan.xera.ac/api/v1/cohort?venue=Acta+Informatica+Pragensia"},"results":[{"id":"W4394783201","doi":"10.18267/j.aip.231","title":"Understanding Consumer Perceptions About Smartwatches: Feature Extraction and Opinion Mining Using Supervised Learning Algorithm","year":2024,"lang":"en","type":"article","venue":"Acta Informatica Pragensia","topic":"Digital Marketing and Social Media","field":"Social 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":"Conestoga College","funders":"","keywords":"Computer science; Smartwatch; Artificial intelligence; Sentiment analysis; Perception; Feature extraction; Machine learning; Feature (linguistics); Data mining; Algorithm; Pattern recognition (psychology); Psychology","score_opus":0.07885929925213593,"score_gpt":0.33702018795973465,"score_spread":0.25816088870759873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394783201","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":[0.8431961,0.0005495634,0.14781381,0.0006492815,0.00010094179,0.00041043034,0.002208809,0.00068057096,0.0043905172],"genre_scores_gemma":[0.9564052,0.00021231182,0.04047532,0.00006714905,0.000081101185,0.00019775883,0.0016968277,0.000015796651,0.0008486465],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991973,0.00021675024,0.0001030117,0.0001590762,0.00023975688,0.000084093575],"domain_scores_gemma":[0.99715817,0.0016421466,0.00038103008,0.000102505626,0.0006674849,0.000048804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012056654,0.00051177084,0.0006322478,0.002067251,0.00022883218,0.00087605475,0.00035843495,0.00057770696,0.0010506465],"category_scores_gemma":[0.004138002,0.00011656291,0.00066968484,0.0014818043,0.00020578342,0.0008637173,0.0003476032,0.00047786385,0.00058746315],"study_design_candidate":"observational","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":[0.0011621156,0.0013067517,0.11358527,0.00087219995,0.0003376327,0.00076506764,0.0022897604,0.016209457,0.046411444,0.0017692352,0.010370752,0.8049203],"study_design_scores_gemma":[0.00006552039,0.00063633826,0.13314499,0.00011022451,0.00023098395,0.00048572657,0.002819407,0.8380571,0.01535474,0.0034966224,0.0055234116,0.00007502914],"about_ca_topic_score_codex":0.001746683,"about_ca_topic_score_gemma":0.0017616365,"teacher_disagreement_score":0.002067251,"about_ca_system_score_codex":0.00034809086,"about_ca_system_score_gemma":0.00032351792,"threshold_uncertainty_score":0.0063762665},"labels":[],"label_agreement":null},{"id":"W4411603506","doi":"10.18267/j.aip.271","title":"Enhancing Imperceptibility: Zero-width Character-based Text Steganography for Preserving Message Privacy","year":2025,"lang":"en","type":"article","venue":"Acta Informatica Pragensia","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","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":"Queen's University","funders":"","keywords":"Character (mathematics); Steganography; Computer science; Zero (linguistics); Zero-knowledge proof; Computer security; Cryptography; Artificial intelligence; Mathematics; Embedding; Linguistics; Philosophy","score_opus":0.012479416167182103,"score_gpt":0.26778021443096417,"score_spread":0.25530079826378205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411603506","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":[0.3065071,0.0014150335,0.68130904,0.00032072712,0.00010551302,0.00014549747,0.00012408983,0.0009571674,0.00911576],"genre_scores_gemma":[0.86964744,0.0008714509,0.12343963,0.00010394496,0.000055784207,0.00006762996,0.00014672283,0.00008103654,0.005586354],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99963427,0.00007247021,0.000022984368,0.0000779886,0.00015717724,0.000035081823],"domain_scores_gemma":[0.9992706,0.00025997704,0.00012727187,0.00014691084,0.00016719826,0.00002805399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002628536,0.00044550668,0.00026837664,0.0005533037,0.00023745703,0.0004574326,0.0005004818,0.0005237298,0.002184258],"category_scores_gemma":[0.0013079603,0.00012981279,0.0003215674,0.00037676032,0.0004907067,0.0011368878,0.00052691286,0.00041651994,0.00075842784],"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":[0.00043915035,0.000101281505,0.0009758236,0.00037808274,0.00003835475,0.00045760933,0.00018354933,0.016383363,0.7453886,0.008444337,0.000604939,0.22660485],"study_design_scores_gemma":[0.000066810106,0.0007945372,0.0025570455,0.00006005531,0.00009165432,0.001960952,0.00010480656,0.22068462,0.7583238,0.0049172635,0.010387231,0.000051285253],"about_ca_topic_score_codex":0.00024266579,"about_ca_topic_score_gemma":0.00026781097,"teacher_disagreement_score":0.002184258,"about_ca_system_score_codex":0.00023566461,"about_ca_system_score_gemma":0.00022517682,"threshold_uncertainty_score":0.007307112},"labels":[],"label_agreement":null}]}