{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"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":"32225264294a","filters":{"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,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Benchmarking; Multilevel model; Reliability (semiconductor); Outlier; Regression analysis; Actuarial science; Computer science; Medicine; Business","authors":[{"name":"Chiara Seghieri","is_ca":false},{"name":"Paolo Berta","is_ca":false},{"name":"Giorgio Vittadini","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4791406469290559,"gpt":0.437130338338564,"spread":0.04201030859049193,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06161496,0.0008511353,0.001195394,0.004105517,0.0006071554,0.002996325,0.002299867,0.001162251,0.002304111],"category_scores_gemma":[0.1676077,0.0004794791,0.002786692,0.00570893,0.0008098484,0.003579763,0.004242918,0.001924913,0.00045911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001787222,"about_ca_system_score_gemma":0.001913842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0119368,"about_ca_topic_score_gemma":0.009001893,"domain_scores_codex":[0.9017949,0.08475754,0.002955748,0.003239127,0.006091877,0.001160866],"domain_scores_gemma":[0.76362,0.1924896,0.01892497,0.01457099,0.00887204,0.001522491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001899048,0.0005522423,0.8017157,0.0008999641,0.0077023,0.00008032431,0.001260322,0.02976197,0.0001818563,0.01704663,0.002403647,0.136496],"study_design_scores_gemma":[0.0006722344,0.003708945,0.5310692,0.001564693,0.002754882,0.0002061636,0.005579892,0.4075114,0.001155369,0.03689195,0.008607956,0.0002774121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6746859,0.00911,0.291941,0.008318769,0.0005755279,0.001464963,0.006109507,0.0003555383,0.007438774],"genre_scores_gemma":[0.9011714,0.002008532,0.09179004,0.000475109,0.0003164014,0.0007335282,0.002728269,0.00008925174,0.0006875313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06161496,"threshold_uncertainty_score":0.325855,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Period (music); Population; Register (sociolinguistics); History; Geography; Demography; Socioeconomics; Genealogy; Sociology; Archaeology","authors":[{"name":"Danijela Doblanović","is_ca":false},{"name":"Marija Mogorović Crljenko","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04996743775282662,"gpt":0.2420124746061363,"spread":0.1920450368533096,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006454521,0.0001660907,0.0002784172,0.005090512,0.0006649937,0.000915291,0.000533803,0.0001711402,0.007335892],"category_scores_gemma":[0.002201134,0.0001983245,0.0001322302,0.00876877,0.0002931933,0.0004249097,0.0008993521,0.000310867,0.001874538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009321008,"about_ca_system_score_gemma":0.001167593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03304703,"about_ca_topic_score_gemma":0.05981124,"domain_scores_codex":[0.9994432,0.00007948961,0.00008083677,0.0001084894,0.000204855,0.0000831658],"domain_scores_gemma":[0.9991359,0.0001765157,0.0002671246,0.0001250883,0.0002470007,0.00004838126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003065398,0.0001727263,0.6791413,0.0008256537,0.0001172794,0.001920442,0.02130732,0.0005596229,0.002689424,0.01206277,0.02352255,0.2573743],"study_design_scores_gemma":[0.000006407539,0.00005613104,0.8754316,0.0001434456,0.00002851275,0.000463986,0.004626843,0.0001455304,0.0005718747,0.0002272802,0.1182798,0.00001854712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9230614,0.002897152,0.0006858788,0.0001691084,0.0001220646,0.0001002082,0.02786035,0.00005001482,0.0450538],"genre_scores_gemma":[0.9078922,0.002489695,0.00161324,0.00003722625,0.00006998732,0.0001052472,0.04387727,0.00006051829,0.04385466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03304703,"threshold_uncertainty_score":0.06570935,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}