{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"82bb2a7b4fe2","filters":{"venue":"Survey Practice"}},"results":[{"id":"W4390614609","doi":"10.29115/sp-2023-0019","title":"Measuring the Growth of Gender-Inclusive Surveys Around the World","year":2024,"lang":"en","type":"article","venue":"Survey Practice","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Gender disparity; Gender identity; Identity (music); Gender analysis; Gender equality; Gender studies; Political science; Psychology; Sociology; Geography; Law","authors":[{"name":"Zoe Padgett","is_ca":false},{"name":"Sam Gutierrez","is_ca":false},{"name":"Laura Wronski","is_ca":false},{"name":"Soubhik Barari","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1525548859774586,"gpt":0.396490519244048,"spread":0.2439356332665893,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1391655,0.0006505334,0.0005451101,0.01094376,0.001622007,0.005433925,0.002067074,0.001703784,0.003969269],"category_scores_gemma":[0.304652,0.001022676,0.000609854,0.008596224,0.002629282,0.009133039,0.006678269,0.002921937,0.001608331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002896475,"about_ca_system_score_gemma":0.004097434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004794289,"about_ca_topic_score_gemma":0.005472295,"domain_scores_codex":[0.8739814,0.08566823,0.007163864,0.008300859,0.02228712,0.002598552],"domain_scores_gemma":[0.5185786,0.2504216,0.05037522,0.0544867,0.1155627,0.01057517],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001494962,0.0002309382,0.5641539,0.001588584,0.000190236,0.0001815537,0.044395,0.001013567,0.005292335,0.01874227,0.01901963,0.3450424],"study_design_scores_gemma":[0.00002863801,0.0003696939,0.626212,0.002321297,0.00007748282,0.0006225496,0.03880987,0.003167298,0.004474021,0.008051336,0.3157133,0.0001526166],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7589704,0.008440699,0.1006277,0.03107277,0.001797019,0.002593345,0.007478751,0.0009451696,0.08807419],"genre_scores_gemma":[0.8735422,0.004744807,0.1000052,0.006460739,0.0006149979,0.003149719,0.004756891,0.0003313627,0.006394007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8608345,"threshold_uncertainty_score":0.7359862,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392356050","doi":"10.29115/sp-2023-0022","title":"Keep the noise down: On the performance of automatic speech recognition of voice-recordings in web surveys","year":2024,"lang":"en","type":"article","venue":"Survey Practice","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Speech recognition; Noise (video); Computer science; Voice activity detection; Speech processing; Artificial intelligence","authors":[{"name":"Katharina Meitinger","is_ca":false},{"name":"Sabien van der Sluis","is_ca":false},{"name":"Matthias Schonlau","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2129304017765198,"gpt":0.426281586716043,"spread":0.2133511849395232,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2970477,0.001160187,0.001065266,0.002409568,0.001308986,0.005554759,0.00262004,0.003361241,0.001863656],"category_scores_gemma":[0.7233706,0.001057607,0.00130273,0.003712778,0.004356337,0.006108145,0.003754359,0.001714722,0.002115219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002335376,"about_ca_system_score_gemma":0.00225331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006783809,"about_ca_topic_score_gemma":0.005720876,"domain_scores_codex":[0.5305219,0.3982349,0.01930615,0.01570804,0.03312989,0.003099072],"domain_scores_gemma":[0.1297363,0.7848721,0.02589876,0.02793117,0.03052468,0.00103695],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004036489,0.0004841921,0.6224042,0.001835293,0.001097856,0.0002652752,0.05120629,0.005219049,0.004222371,0.00217903,0.004842184,0.3022078],"study_design_scores_gemma":[0.0002062066,0.00337791,0.9151629,0.00219596,0.000666812,0.000553628,0.01486446,0.02937181,0.01477349,0.004833679,0.01352836,0.0004648013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.907164,0.002996077,0.06526038,0.004094738,0.000491164,0.001060065,0.0008433666,0.0005398607,0.0175503],"genre_scores_gemma":[0.9736191,0.0004684955,0.02251493,0.0009490469,0.000228654,0.0005111918,0.0005023908,0.0002870793,0.0009191322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7029523,"threshold_uncertainty_score":0.8668653,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2531070073","doi":"10.29115/sp-2016-0023","title":"Measuring Consumer Cash Holdings: Lessons from the 2013 Bank of Canada Methods-of-Payment Survey","year":2016,"lang":"en","type":"article","venue":"Survey Practice","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Bank of Canada","funders":"","keywords":"Cash; Payment; Sample (material); Measure (data warehouse); Business; Weighting; Variance (accounting); Population; Actuarial science; Cash management; Estimation; Finance; Accounting; Economics; Computer science; Database","authors":[{"name":"Heng Chen","is_ca":true},{"name":"Chris Henry","is_ca":true},{"name":"Kim P. Huynh","is_ca":true},{"name":"Qing Shen","is_ca":true},{"name":"Kyle Vincent","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2909608321146868,"gpt":0.3681983357752068,"spread":0.07723750366052007,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04553508,0.0009471488,0.001186782,0.004639912,0.004485588,0.004124719,0.003462456,0.001123789,0.002695595],"category_scores_gemma":[0.1140957,0.0006846534,0.001000034,0.01652396,0.002810721,0.002203261,0.002486007,0.002867827,0.0006183338],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09059054,"about_ca_system_score_gemma":0.1581007,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994696,"about_ca_topic_score_gemma":0.9947849,"domain_scores_codex":[0.9598947,0.02021449,0.001901942,0.00145978,0.01423439,0.002294657],"domain_scores_gemma":[0.9045151,0.02885875,0.002998617,0.004569665,0.05673455,0.002323248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002283833,0.0001847188,0.2034086,0.001833083,0.0003212928,0.000353097,0.02003169,0.01097219,0.0005163318,0.1179215,0.1781555,0.4660737],"study_design_scores_gemma":[0.0001397903,0.0001838185,0.4457892,0.005591402,0.0003017319,0.0002340252,0.02268426,0.01614591,0.001440146,0.03753861,0.4694631,0.0004880909],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1538599,0.04681694,0.2487074,0.2560712,0.00374122,0.005587667,0.04471703,0.001255752,0.2392429],"genre_scores_gemma":[0.5359291,0.03285716,0.3694042,0.01724791,0.0007289753,0.003557916,0.01059623,0.000623779,0.02905484],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9094095,"threshold_uncertainty_score":0.6572835,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}