{"meta":{"query_hash":"1ea3e0f47afa","filters":{"venue":"NASIG Proceedings"},"cohort_total":4,"direct_labels_cover":0,"predictions_cover":4,"exported":4,"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/1ea3e0f47afa","api":"https://metacan.xera.ac/api/v1/cohort?venue=NASIG+Proceedings"},"results":[{"id":"W4389639794","doi":"10.3998/nasig.4306","title":"Hybrid Vision Panel: Progress Not Perfection: DEI Work Within Information Organizations","year":2023,"lang":"en","type":"article","venue":"NASIG Proceedings","topic":"Library Science and Administration","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":"University of Saskatchewan; University of British Columbia","funders":"","keywords":"Inclusion (mineral); Equity (law); Diversity (politics); Perfection; Demographics; Public relations; Indigenous; Work (physics); Political science; Sociology; Social science; Engineering; Law","score_opus":0.028222794034782818,"score_gpt":0.29502983711438074,"score_spread":0.2668070430795979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389639794","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006142315,0.0021483782,0.0038569816,0.85415775,0.022100538,0.000114940565,0.00015811097,0.00035866606,0.11096237],"genre_scores_gemma":[0.1953515,0.0040611345,0.014580824,0.4114363,0.009123362,0.00052397815,0.0008826963,0.00069516525,0.36334518],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9830602,0.006547645,0.0004755248,0.0016699282,0.005284501,0.0029622226],"domain_scores_gemma":[0.9663789,0.008215759,0.0007402007,0.0020466463,0.008942585,0.0136758685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0318567,0.0005395606,0.00046866297,0.0013748124,0.014510717,0.021342508,0.0027925768,0.0109098125,0.03059762],"category_scores_gemma":[0.026497036,0.00050801167,0.0006241526,0.0014103337,0.0057030404,0.015281823,0.014765437,0.016413651,0.0065804264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021793981,0.00006659545,0.0010075517,0.00013276839,0.0000064531414,0.00016965425,0.004230948,0.00006436642,0.00030758762,0.04769046,0.8913175,0.05498425],"study_design_scores_gemma":[0.000009682201,0.000051441875,0.0012303706,0.00024510626,0.0000047590947,0.0001527008,0.01248836,0.00018768177,0.00034445213,0.015293499,0.9699528,0.0000391457],"about_ca_topic_score_codex":0.010265181,"about_ca_topic_score_gemma":0.021068405,"teacher_disagreement_score":0.0318567,"about_ca_system_score_codex":0.010044609,"about_ca_system_score_gemma":0.02486461,"threshold_uncertainty_score":0.16847634},"labels":[],"label_agreement":null},{"id":"W4404230625","doi":"10.3998/nasig.6733","title":"Metadata for Everyone: Identifying Metadata Quality Issues Across Cultures","year":2024,"lang":"en","type":"article","venue":"NASIG Proceedings","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","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":"Ontario Council of University Libraries; University of Toronto","funders":"","keywords":"Metadata; Meta Data Services; World Wide Web; Metadata repository; Geospatial metadata; Computer science; Database catalog; Data element; Quality (philosophy); Information retrieval","score_opus":0.14780280411626726,"score_gpt":0.38195310904408947,"score_spread":0.2341503049278222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404230625","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":[0.9173406,0.0030080227,0.025379268,0.008309295,0.00014285422,0.0005187515,0.0005877457,0.000068937705,0.04464463],"genre_scores_gemma":[0.9879126,0.0007152313,0.009264609,0.00054617395,0.00003469427,0.00024620077,0.0001526392,0.00004478589,0.0010829679],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.95341384,0.025691941,0.005716735,0.0033043923,0.009053086,0.0028198503],"domain_scores_gemma":[0.8371092,0.07658417,0.024018569,0.024800062,0.034307968,0.00317996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.057046715,0.00047987755,0.001070596,0.011316965,0.010127629,0.016791329,0.0016252649,0.0018717421,0.0025800206],"category_scores_gemma":[0.16835447,0.0005856401,0.00075897627,0.015835816,0.014838032,0.026011208,0.017601272,0.0027577064,0.00032063955],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013690864,0.00008753926,0.21511954,0.0005226851,0.0000978776,0.00026246853,0.6095243,0.00017009022,0.001159683,0.08272344,0.0013324745,0.088862985],"study_design_scores_gemma":[0.000011650824,0.00010837284,0.056722697,0.0012732293,0.00013807586,0.0003018553,0.88477683,0.00071632914,0.0026563508,0.034455698,0.018748246,0.00009061585],"about_ca_topic_score_codex":0.027175553,"about_ca_topic_score_gemma":0.030533789,"teacher_disagreement_score":0.057046715,"about_ca_system_score_codex":0.010455219,"about_ca_system_score_gemma":0.0105521465,"threshold_uncertainty_score":0.30169547},"labels":[],"label_agreement":null},{"id":"W4412705131","doi":"10.3998/nasig.7752","title":"Maximizing Efficiency in Shared Print Programs: A DIY Approach to Overlap Analysis","year":2025,"lang":"en","type":"article","venue":"NASIG Proceedings","topic":"Library Science and Information Systems","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":true,"ca_institutions":"Ontario Council of University Libraries; University of Toronto","funders":"","keywords":"Computer science","score_opus":0.019488569729628386,"score_gpt":0.2427160867989374,"score_spread":0.22322751706930902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412705131","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":[0.016204534,0.00013166234,0.97840184,0.00035348834,0.000018150777,0.0001382229,0.00024836548,0.0012861822,0.003217615],"genre_scores_gemma":[0.1754336,0.00013647848,0.8199819,0.00013026022,0.00006590259,0.00031133846,0.00067596906,0.0008326695,0.002431977],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9774483,0.008250649,0.0014511708,0.003962684,0.007547676,0.0013395133],"domain_scores_gemma":[0.9471287,0.025967501,0.0051447614,0.014291943,0.00644645,0.0010206088],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.016603196,0.0016841688,0.0020748253,0.010023871,0.002766859,0.007906756,0.00421745,0.0010902886,0.004413483],"category_scores_gemma":[0.06903011,0.0011083712,0.0020668663,0.009876483,0.004101265,0.010488201,0.011829369,0.0030926308,0.0014758742],"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":[0.0008274814,0.00060529326,0.023795968,0.000735115,0.0003785149,0.00042312694,0.0077119893,0.102981016,0.0117341755,0.21785104,0.006987743,0.6259686],"study_design_scores_gemma":[0.00006545022,0.000258718,0.0076880855,0.00016651474,0.00012812455,0.00040971185,0.0038201364,0.6774058,0.030687442,0.24902889,0.030201804,0.00013948913],"about_ca_topic_score_codex":0.005245936,"about_ca_topic_score_gemma":0.0053339633,"teacher_disagreement_score":0.99209327,"about_ca_system_score_codex":0.0031923114,"about_ca_system_score_gemma":0.0047057457,"threshold_uncertainty_score":0.08780718},"labels":[],"label_agreement":null},{"id":"W4412705212","doi":"10.3998/nasig.7753","title":"Transforming Library Data Analytics into Strategic Insights with ChatGPT","year":2025,"lang":"en","type":"article","venue":"NASIG Proceedings","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Council of University Libraries; University of Toronto","funders":"","keywords":"Data science; Analytics; Computer science; Data analysis; Knowledge management; Business; Data mining","score_opus":0.03419841630535841,"score_gpt":0.23717684524144844,"score_spread":0.20297842893609003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412705212","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":[0.11084314,0.0018992499,0.72914684,0.018883921,0.0008615607,0.0009953843,0.0058309543,0.03426859,0.09727043],"genre_scores_gemma":[0.48041907,0.0011297367,0.49066368,0.002408014,0.0006058572,0.00117807,0.0048629073,0.0025968829,0.016135747],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9902339,0.006814525,0.00032419225,0.00075761875,0.0013819076,0.00048788678],"domain_scores_gemma":[0.93689305,0.04522162,0.0018412165,0.01091095,0.0034793017,0.0016537867],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0112207495,0.0009890288,0.00055653614,0.0039103674,0.0021014863,0.0090575665,0.0023697906,0.001211202,0.008849822],"category_scores_gemma":[0.05352367,0.00051271,0.0007550331,0.005129612,0.0029438583,0.009823708,0.012744198,0.0025472315,0.003530209],"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":[0.00096030947,0.00041019588,0.011911686,0.0020584709,0.00020125465,0.0021341015,0.07587738,0.011803158,0.0109294485,0.103803076,0.08355044,0.6963605],"study_design_scores_gemma":[0.00020566682,0.0003872646,0.008164786,0.0016201157,0.00014387738,0.0010607665,0.0392526,0.08083261,0.015356388,0.27343273,0.57922167,0.0003214844],"about_ca_topic_score_codex":0.003168603,"about_ca_topic_score_gemma":0.0068910243,"teacher_disagreement_score":0.9909424,"about_ca_system_score_codex":0.0017734582,"about_ca_system_score_gemma":0.0028892995,"threshold_uncertainty_score":0.05934173},"labels":[],"label_agreement":null}]}