{"meta":{"query_hash":"e0f674573a88","filters":{"venue":"Journal of information and organizational sciences"},"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/e0f674573a88","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+information+and+organizational+sciences"},"results":[{"id":"W3175691360","doi":"10.31341/jios.45.1.13","title":"Real-time Web Search Framework for Performing Efficient Retrieval of Data","year":2021,"lang":"en","type":"article","venue":"Journal of information and organizational sciences","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Relevance (law); Context (archaeology); Information retrieval; Real-time data; Key (lock); The Internet; Data mining; World Wide Web","score_opus":0.027346471104697942,"score_gpt":0.29858475094524944,"score_spread":0.2712382798405515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175691360","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021717295,0.0022579378,0.9681911,0.0002898763,0.00007707366,0.00020083529,0.0002577473,0.0043371986,0.002671027],"genre_scores_gemma":[0.43609124,0.0011666698,0.55609256,0.00024699917,0.00015074556,0.00029865888,0.0006767102,0.00027008663,0.0050063385],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855345,0.00034081918,0.00012797002,0.0003542171,0.00045326454,0.00017020584],"domain_scores_gemma":[0.99903095,0.00025023488,0.000111980604,0.00021830661,0.00028767763,0.00010090136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015112443,0.00070725294,0.0011777153,0.001763489,0.00067580875,0.0017554924,0.0020147467,0.0009870662,0.0023449967],"category_scores_gemma":[0.0034937898,0.0002911096,0.0008239756,0.0020984884,0.000496057,0.0033454148,0.0013738459,0.0008978837,0.001274041],"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":[0.001117607,0.0008459306,0.0050976244,0.0011487317,0.00028946888,0.0006789417,0.00076738896,0.22772104,0.039781563,0.07966174,0.022960858,0.6199291],"study_design_scores_gemma":[0.000046528374,0.00015834885,0.00059950916,0.00001944731,0.000050088092,0.0003030281,0.00009817496,0.96723735,0.0045666923,0.017387073,0.009500573,0.00003310355],"about_ca_topic_score_codex":0.0075866235,"about_ca_topic_score_gemma":0.008593891,"teacher_disagreement_score":0.0075866235,"about_ca_system_score_codex":0.000988864,"about_ca_system_score_gemma":0.0017469542,"threshold_uncertainty_score":0.015084922},"labels":[],"label_agreement":null},{"id":"W4400360175","doi":"10.31341/jios.48.1.1","title":"Relevancy between Anchor Text and Wikipedia. A Web Search Framework","year":2024,"lang":"en","type":"article","venue":"Journal of information and organizational sciences","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Information retrieval; PageRank; Weighting; tf–idf; Ranking (information retrieval); Hypertext; Set (abstract data type); World Wide Web; Term (time)","score_opus":0.011629418109666924,"score_gpt":0.26628436726279425,"score_spread":0.2546549491531273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400360175","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":[0.024804864,0.005235045,0.9504935,0.0008635605,0.00022960616,0.00069297676,0.0014068383,0.003309993,0.012963628],"genre_scores_gemma":[0.29611284,0.0016860153,0.6832868,0.00030462872,0.00032613764,0.000517387,0.0030990893,0.0005153743,0.014151729],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969494,0.0011042679,0.00027854685,0.00053388934,0.0009814003,0.00015243964],"domain_scores_gemma":[0.99668026,0.0013120705,0.00044589958,0.00043930608,0.0009579948,0.00016449536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034900699,0.00071389606,0.00089649536,0.012150076,0.0010656158,0.0030353537,0.0018236439,0.0010938357,0.0025165216],"category_scores_gemma":[0.010804537,0.00040905943,0.0011117503,0.005688242,0.0012309666,0.0052711633,0.002272644,0.0010808005,0.0016203538],"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":[0.00038142467,0.00029765785,0.0061761187,0.00085348386,0.0002114762,0.0007870644,0.0010531351,0.03842307,0.012375586,0.34577385,0.021984663,0.5716825],"study_design_scores_gemma":[0.00008145163,0.0003726847,0.0066459016,0.00022662187,0.00016272525,0.0018890497,0.0005797559,0.56241715,0.015170389,0.298221,0.114068925,0.00016424959],"about_ca_topic_score_codex":0.0057637733,"about_ca_topic_score_gemma":0.0073755872,"teacher_disagreement_score":0.012150076,"about_ca_system_score_codex":0.0010677273,"about_ca_system_score_gemma":0.0015876301,"threshold_uncertainty_score":0.018457532},"labels":[],"label_agreement":null}]}