{"id":"W7002630461","doi":"","title":"Neki aspekti demografske prošlosti župe Nova Gradiška prema matičnoj knjizi krštenih župe Nova Gradiška 1878.-1890. = Some aspects of the demographic past of the parish of Nova Gradiška = according to the parish registers of baptisms from 1878-1890","year":2017,"lang":"sh","type":"other","venue":"","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nova (rocket); Nova scotia; Metis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002807402,0.0001957678,0.0001558763,0.001709083,0.001188739,0.001727417,0.0002682945,0.0002504686,0.01806523],"category_scores_gemma":[0.001285943,0.0001214981,0.0001312713,0.003968159,0.0006488087,0.0008553764,0.001306323,0.0004162498,0.001528386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001814535,"about_ca_system_score_gemma":0.002095341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1154536,"about_ca_topic_score_gemma":0.2166918,"domain_scores_codex":[0.999689,0.00005909064,0.00002289167,0.00004386317,0.00006187274,0.0001233192],"domain_scores_gemma":[0.9995964,0.00008221043,0.0001521231,0.00002748431,0.00008227576,0.00005952683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004179821,0.00008561461,0.6301916,0.001245677,0.0001207916,0.001416893,0.03203861,0.0009331037,0.0009217971,0.1392773,0.0905084,0.1028423],"study_design_scores_gemma":[0.00001265241,0.00002602679,0.7285973,0.0002995242,0.00002278745,0.0003602433,0.01832097,0.00007983841,0.0003632453,0.003225081,0.2486739,0.00001837653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6833224,0.006612069,0.000470683,0.004275477,0.0002762157,0.00005431138,0.04336913,0.00004742629,0.2615723],"genre_scores_gemma":[0.9505255,0.002735155,0.0003545721,0.0001949399,0.00006083327,0.00003877388,0.01003867,0.00002557258,0.0360259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1154536,"threshold_uncertainty_score":0.2295632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07524214947052232,"score_gpt":0.283497701853843,"score_spread":0.2082555523833207,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}