{"meta":{"query_hash":"32225264294a","filters":{"venue":"Giornate di Studio sulla Popolazione 2015"},"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/32225264294a","api":"https://metacan.xera.ac/api/v1/cohort?venue=Giornate+di+Studio+sulla+Popolazione+2015"},"results":[{"id":"W1573285070","doi":"","title":"Measuring hospital outcomes using administrative data: comparing logistics vs multilevel methods","year":2014,"lang":"it","type":"article","venue":"Giornate di Studio sulla Popolazione 2015","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","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":"","keywords":"Benchmarking; Multilevel model; Reliability (semiconductor); Outlier; Regression analysis; Actuarial science; Computer science; Medicine; Business","score_opus":0.47914064692905595,"score_gpt":0.437130338338564,"score_spread":0.04201030859049193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1573285070","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09886149,0.00967937,0.8208722,0.022330279,0.018364267,0.0035355831,0.004515213,0.0004049402,0.021436661],"genre_scores_gemma":[0.96692973,0.00096659834,0.029189032,0.0005966261,0.00088319025,0.000023743722,0.00017102456,0.00013437438,0.0011056772],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99329954,0.00052892667,0.0024311303,0.0018613175,0.00029156305,0.0015875465],"domain_scores_gemma":[0.99459213,0.00057527854,0.0016442615,0.0023088076,0.00027696497,0.000602586],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005715586,0.0009177624,0.0023995806,0.0005534644,0.00089288916,0.0004298582,0.0016521261,0.00038486192,0.00006264405],"category_scores_gemma":[0.0026038466,0.0010594348,0.00031762992,0.00045861522,0.0003591063,0.00066559,0.0021737386,0.0008464617,0.0005494535],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032683156,0.0030129498,0.5330357,0.0015281421,0.0055943322,0.00012445045,0.009585588,0.0048547704,0.00003592642,0.40552002,0.011304868,0.025076453],"study_design_scores_gemma":[0.006553141,0.0010466415,0.2821773,0.00048115422,0.0006813813,0.000020485028,0.0024273545,0.32639632,0.00017036298,0.008523542,0.36743307,0.004089236],"about_ca_topic_score_codex":0.009377362,"about_ca_topic_score_gemma":0.00063061586,"teacher_disagreement_score":0.8680682,"about_ca_system_score_codex":0.0007232022,"about_ca_system_score_gemma":0.00017869231,"threshold_uncertainty_score":0.99918556},"labels":[],"label_agreement":null},{"id":"W946259797","doi":"","title":"Register of Marriages as a Source for Social and Economic History: Rovinj 1564-1633","year":2014,"lang":"it","type":"article","venue":"Giornate di Studio sulla Popolazione 2015","topic":"Balkan and Eastern European Studies","field":"Economics, Econometrics and Finance","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":"","keywords":"Quarter (Canadian coin); Period (music); Population; Register (sociolinguistics); History; Geography; Demography; Socioeconomics; Genealogy; Sociology; Archaeology","score_opus":0.04996743775282662,"score_gpt":0.24201247460613626,"score_spread":0.19204503685330965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W946259797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8011309,0.06271045,0.0022919236,0.01012528,0.007575298,0.0018346966,0.0015302618,0.00015726588,0.11264394],"genre_scores_gemma":[0.94912237,0.0026500146,0.00014784427,0.00046685827,0.0013704927,0.000028200602,0.000032073163,0.0001557272,0.046026424],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99650514,0.00011389184,0.0013834212,0.0010993651,0.00009863404,0.00079956895],"domain_scores_gemma":[0.99748904,0.00015636839,0.0014158936,0.0006020542,0.00012339152,0.0002132523],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013759177,0.0006011861,0.0017055591,0.00034774657,0.00039441697,0.00010669034,0.0004635026,0.0002473414,0.00019750214],"category_scores_gemma":[0.00020690974,0.00070737884,0.00044737256,0.00008814334,0.000612391,0.00023501937,0.00051110476,0.00025827068,0.0009394287],"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":[0.0018063678,0.0007519208,0.14468592,0.0013912856,0.0035416784,0.000013409582,0.016762748,0.00006059563,0.00017185198,0.24765927,0.56762856,0.015526384],"study_design_scores_gemma":[0.0037780337,0.00059883215,0.03573077,0.00006337627,0.0001790149,0.000011478515,0.00074420724,0.0005623238,0.000029906443,0.0016261113,0.95583355,0.0008423743],"about_ca_topic_score_codex":0.001193278,"about_ca_topic_score_gemma":0.0001878865,"teacher_disagreement_score":0.388205,"about_ca_system_score_codex":0.00051936175,"about_ca_system_score_gemma":0.000069118236,"threshold_uncertainty_score":0.9998385},"labels":[],"label_agreement":null}]}