{"meta":{"query_hash":"61ccb03ac5d6","filters":{"venue":"MUNI ECON Working Papers"},"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/61ccb03ac5d6","api":"https://metacan.xera.ac/api/v1/cohort?venue=MUNI+ECON+Working+Papers"},"results":[{"id":"W3161615985","doi":"10.5817/wp_muni_econ_2020-02","title":"Life Satisfaction of Employees, Labour Market Tightness and Matching Efficiency","year":2020,"lang":"en","type":"article","venue":"MUNI ECON Working Papers","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Impact","funders":"Masarykova Univerzita; FP7 People: Marie-Curie Actions; European Commission","keywords":"Unemployment; Matching (statistics); Economics; Labour economics; Inflation (cosmology); Order (exchange); Estimation; Quarter (Canadian coin); Demographic economics; Macroeconomics; Mathematics","score_opus":0.046201345416731245,"score_gpt":0.325488946909296,"score_spread":0.2792876014925647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161615985","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":[0.9924036,0.00051280553,0.00088637765,0.00044082955,0.000010344918,0.000026126394,0.0011355857,0.000009078896,0.004575365],"genre_scores_gemma":[0.9982849,0.00012506866,0.00013150768,0.00003521139,0.0000116541405,0.000018704588,0.0005996098,0.0000017524868,0.0007915408],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935824,0.00017819103,0.0000701528,0.0000826781,0.00011892913,0.00019187061],"domain_scores_gemma":[0.9922666,0.0028022293,0.003237695,0.00034508514,0.00028519242,0.0010632736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001624346,0.0001647959,0.0003672011,0.0010869845,0.00043471897,0.0013446733,0.00028817283,0.00052677497,0.007338556],"category_scores_gemma":[0.0070388326,0.00012235297,0.0003949156,0.0022268477,0.0004901051,0.0006446243,0.00087353453,0.0005546842,0.00044209327],"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":[0.00011810547,0.00022073046,0.9811152,0.000054967266,0.000112451184,0.000051923183,0.0007026075,0.0009849438,0.00015005398,0.00176498,0.0008770135,0.013846943],"study_design_scores_gemma":[0.000003810168,0.000060731618,0.9975115,0.000011196912,0.000016185533,0.000016490336,0.00061497954,0.0005659876,0.00004669284,0.00054461154,0.00060241023,0.0000052717137],"about_ca_topic_score_codex":0.0066876924,"about_ca_topic_score_gemma":0.005540782,"teacher_disagreement_score":0.007338556,"about_ca_system_score_codex":0.0006236911,"about_ca_system_score_gemma":0.0003752191,"threshold_uncertainty_score":0.024549901},"labels":[],"label_agreement":null},{"id":"W4288004652","doi":"10.5817/wp_muni_econ_2019-02","title":"Delegation And Coordination With Multiple Threshold Public Goods: Experimental Evidence","year":2019,"lang":"en","type":"article","venue":"MUNI ECON Working Papers","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada; Queen's University; Grantová Agentura České Republiky","keywords":"Public good; Delegation; Business; Distribution (mathematics); Public economics; Public relations; Microeconomics; Economics; Political science","score_opus":0.06055160068049356,"score_gpt":0.30483605559537674,"score_spread":0.24428445491488318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288004652","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":[0.9129123,0.0007990029,0.027197361,0.0022961842,0.00008135172,0.00035983845,0.00024194343,0.00011086711,0.056001212],"genre_scores_gemma":[0.9934075,0.00024450253,0.0040881564,0.00022924159,0.00002437302,0.00021535109,0.00004984192,0.000020553893,0.0017205552],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9893861,0.007129556,0.0004307719,0.0011145052,0.0010820623,0.00085704273],"domain_scores_gemma":[0.8315535,0.11336227,0.030397166,0.01762447,0.0024535845,0.004609041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017878277,0.0009393875,0.001256539,0.0008945249,0.0013931195,0.0030855339,0.0015679008,0.0021695679,0.019381013],"category_scores_gemma":[0.06671902,0.000593049,0.00070814835,0.0010462153,0.00327162,0.0030954517,0.0029511338,0.0023540973,0.0015971526],"study_design_candidate":"bench_or_experimental","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":[0.023054786,0.03201369,0.10387932,0.0046358346,0.0026133033,0.0019292874,0.0069880756,0.10145162,0.032378662,0.5042591,0.014053874,0.17274258],"study_design_scores_gemma":[0.0096798595,0.010479798,0.066768534,0.0006528969,0.0013399762,0.00087270414,0.003342392,0.12316979,0.011795058,0.753997,0.01764599,0.00025603277],"about_ca_topic_score_codex":0.0014868659,"about_ca_topic_score_gemma":0.0011313354,"teacher_disagreement_score":0.019381013,"about_ca_system_score_codex":0.001974086,"about_ca_system_score_gemma":0.0019091417,"threshold_uncertainty_score":0.09455049},"labels":[],"label_agreement":null},{"id":"W4318256487","doi":"10.5817/wp_muni_econ_2021-13","title":"The Gates Effect in Public Goods Experiments: How Donations Flow to the Recipients Favored by the Wealthy","year":2021,"lang":"en","type":"article","venue":"MUNI ECON Working Papers","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","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":"Queen's University","funders":"","keywords":"Public good; Endowment; Variety (cybernetics); Donation; Inequality; Preference; Public economics; Economics; Microeconomics; Business; Political science; Economic growth; Computer science; Law","score_opus":0.0448493990484737,"score_gpt":0.3219464987969575,"score_spread":0.27709709974848384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318256487","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":[0.9687687,0.00014132567,0.01164754,0.0011959301,0.00013135516,0.00037822334,0.00027341416,0.00009032722,0.017373173],"genre_scores_gemma":[0.9899498,0.00008718945,0.0052638645,0.0006893827,0.00005005332,0.0007711048,0.00008171918,0.00003838918,0.0030685042],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99467695,0.0035911028,0.00018980127,0.0007453931,0.00042618343,0.00037053195],"domain_scores_gemma":[0.9439542,0.043225683,0.006189194,0.0041561658,0.000556716,0.001918048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011245521,0.00063497457,0.001058569,0.0006802227,0.0010425692,0.0018484866,0.0008278902,0.0018738635,0.011399999],"category_scores_gemma":[0.048359916,0.0004965724,0.00049733603,0.00069294276,0.0032253468,0.0027472458,0.0022639893,0.002162823,0.00090143],"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":[0.06888036,0.032883633,0.1239685,0.0025118096,0.0015214859,0.0011596289,0.009889308,0.04647399,0.19629176,0.32057127,0.015123521,0.18072475],"study_design_scores_gemma":[0.01822049,0.038405325,0.17615104,0.00055217074,0.0015507494,0.0007624925,0.004730468,0.09879552,0.069369085,0.5670037,0.023802329,0.0006566023],"about_ca_topic_score_codex":0.00088721514,"about_ca_topic_score_gemma":0.00079909345,"teacher_disagreement_score":0.011399999,"about_ca_system_score_codex":0.0010018985,"about_ca_system_score_gemma":0.0010370496,"threshold_uncertainty_score":0.05947268},"labels":[],"label_agreement":null},{"id":"W4410507387","doi":"10.5817/wp_muni_econ_2025-05","title":"The Effects of Air Pollution on Mood: Evidence from Twitter","year":2025,"lang":"en","type":"article","venue":"MUNI ECON Working Papers","topic":"Air Quality and Health Impacts","field":"Environmental Science","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":"European Social Fund; European Regional Development Fund; Masarykova Univerzita","keywords":"Mood; Air pollution; Pollution; Psychology; Internet privacy; Environmental health; Environmental science; Computer science; Social psychology; Medicine; Biology; Ecology","score_opus":0.02907022725614848,"score_gpt":0.2901089333101659,"score_spread":0.2610387060540174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410507387","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":[0.97296226,0.0013593358,0.00037317013,0.00372823,0.0001668255,0.000035683766,0.0057946825,0.000018835934,0.015561092],"genre_scores_gemma":[0.99427867,0.0014103597,0.00021330816,0.0007387748,0.00022045615,0.00003058695,0.0018029787,0.000014585184,0.0012902326],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932265,0.00026581818,0.000038219107,0.00009855253,0.00017719487,0.00009762151],"domain_scores_gemma":[0.99273574,0.0033839773,0.0019301982,0.0003312879,0.0012061687,0.00041261563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007388294,0.0002226918,0.00026038123,0.00083714025,0.0006518122,0.0015300462,0.00024550263,0.00059421937,0.0033877352],"category_scores_gemma":[0.008108674,0.00017813213,0.00034727066,0.0015475854,0.00044412777,0.0009325303,0.000889687,0.0006768439,0.0010945946],"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":[0.00094028114,0.00023372505,0.92584884,0.00038474376,0.00038615862,0.00026633905,0.0033888542,0.00048462077,0.0021536225,0.0008179236,0.013016322,0.052078445],"study_design_scores_gemma":[0.000024912197,0.00009169252,0.9857525,0.00008620258,0.000107971704,0.00005678694,0.0027958404,0.0009619445,0.000505114,0.00043349573,0.009155159,0.000028421902],"about_ca_topic_score_codex":0.021021223,"about_ca_topic_score_gemma":0.031168146,"teacher_disagreement_score":0.021021223,"about_ca_system_score_codex":0.00046135357,"about_ca_system_score_gemma":0.00035224613,"threshold_uncertainty_score":0.041797698},"labels":[],"label_agreement":null}]}