{"meta":{"query_hash":"b554ac84bcc8","filters":{"venue":"Croatian Operational Research Review"},"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/b554ac84bcc8","api":"https://metacan.xera.ac/api/v1/cohort?venue=Croatian+Operational+Research+Review"},"results":[{"id":"W2611455430","doi":"10.17535/crorr.2017.0022","title":"Characterizing fixed points","year":2017,"lang":"en","type":"article","venue":"Croatian Operational Research Review","topic":"Fixed Point Theorems Analysis","field":"Mathematics","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":"McGill University","funders":"Sveučilište u Zagrebu","keywords":"Fixed-point theorem; Fixed point; Mathematics; Nash equilibrium; Mathematical economics; Variable (mathematics); Function (biology); Set (abstract data type); Kakutani fixed-point theorem; Discrete mathematics; Simple (philosophy); Combinatorics; Brouwer fixed-point theorem; Computer science; Schauder fixed point theorem; Mathematical analysis","score_opus":0.29842402009739255,"score_gpt":0.48048457005369277,"score_spread":0.18206054995630022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611455430","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":[0.049071457,0.0031166978,0.8948603,0.0019057288,0.00031734264,0.00048472386,0.0007765773,0.00041573073,0.049051385],"genre_scores_gemma":[0.60463965,0.0047905063,0.36196905,0.001218394,0.0009505409,0.0025068785,0.0026837015,0.00043877246,0.020802414],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9955136,0.0008056122,0.00042766792,0.0017578678,0.0009911457,0.000503978],"domain_scores_gemma":[0.9889004,0.0058416077,0.001688974,0.0011916083,0.0019205988,0.00045675703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052515105,0.0019866403,0.001883852,0.004770384,0.002252774,0.0046335915,0.002725715,0.0037968429,0.011172719],"category_scores_gemma":[0.018886752,0.00115476,0.0031196466,0.002138324,0.0064698253,0.0074405754,0.0043763802,0.0042642984,0.0021908183],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003180259,0.0000463756,0.0009918406,0.00029588098,0.00006918108,0.00029194984,0.00046498788,0.008834449,0.003964681,0.9706688,0.0018192654,0.01252084],"study_design_scores_gemma":[0.000042276217,0.000113479335,0.00050121703,0.00016244921,0.000055661836,0.0003584777,0.00031233305,0.026325371,0.0036664102,0.9514745,0.016940001,0.000047981535],"about_ca_topic_score_codex":0.00088569935,"about_ca_topic_score_gemma":0.00049282575,"teacher_disagreement_score":0.011172719,"about_ca_system_score_codex":0.0030891895,"about_ca_system_score_gemma":0.0018965399,"threshold_uncertainty_score":0.037376463},"labels":[],"label_agreement":null},{"id":"W4384200994","doi":"10.17535/crorr.2023.0006","title":"Macroeconomic impacts of COVID-19 pandemic first wave in the world","year":2023,"lang":"en","type":"article","venue":"Croatian Operational Research Review","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":3,"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":"","keywords":"Economics; Quarter (Canadian coin); Business cycle; Productivity; Replicate; Fiscal policy; Government (linguistics); Wage; Gross domestic product; Macroeconomics; Monetary economics; Labour economics","score_opus":0.3704905307269399,"score_gpt":0.43798421802940096,"score_spread":0.06749368730246108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384200994","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":[0.9362755,0.006748924,0.0030727272,0.010939039,0.00048169543,0.000051644034,0.0049499874,0.00007255108,0.03740794],"genre_scores_gemma":[0.99560297,0.0023292345,0.00019511665,0.00023061465,0.00007422763,0.0000074499426,0.00068910234,0.0000070364986,0.00086436636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998198,0.000043742748,0.000008469282,0.000020675207,0.00003286717,0.00007442525],"domain_scores_gemma":[0.99967086,0.00006133518,0.00013611528,0.000016629238,0.000063626976,0.000051411986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005800104,0.0002968382,0.00025462668,0.0005162548,0.000272885,0.0014131018,0.00019773176,0.000810329,0.001672064],"category_scores_gemma":[0.001460605,0.000102609454,0.00034427326,0.0007348925,0.00033049978,0.00078673015,0.00079307996,0.00074033206,0.0001697712],"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":[0.0013550086,0.0005151527,0.5075568,0.0010884855,0.0005679161,0.0079885945,0.0010054623,0.18849924,0.003977413,0.13678114,0.05432195,0.096342884],"study_design_scores_gemma":[0.000098872144,0.00087041716,0.7144964,0.0007287465,0.0003271444,0.0016238645,0.00533767,0.15610869,0.0033040934,0.050417665,0.06650471,0.0001818275],"about_ca_topic_score_codex":0.012885267,"about_ca_topic_score_gemma":0.008157055,"teacher_disagreement_score":0.012885267,"about_ca_system_score_codex":0.0013918186,"about_ca_system_score_gemma":0.0007190888,"threshold_uncertainty_score":0.02562052},"labels":[],"label_agreement":null}]}