{"id":"W7048020183","doi":"","title":"Inequality in mortality: Portugal Vs United States, Canada and France","year":2023,"lang":"en","type":"dissertation","venue":"Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa)","topic":"Superconducting and THz Device Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Inequality; Portuguese; Health care; Population; Mortality rate; Health equity; Healthcare system","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004619724,0.0009566374,0.001154237,0.001635667,0.0005128838,0.0001873463,0.001016088,0.0009983889,0.0003802279],"category_scores_gemma":[0.00006148415,0.001257084,0.0002611633,0.002581495,0.0002588225,0.0005577746,0.0002407428,0.002368259,0.00002123913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001223262,"about_ca_system_score_gemma":0.002372583,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9134613,"about_ca_topic_score_gemma":0.4946798,"domain_scores_codex":[0.9953801,0.0003346125,0.0008053042,0.001399795,0.0007060033,0.001374157],"domain_scores_gemma":[0.9970236,0.0003452747,0.000694856,0.001059195,0.00039833,0.0004787487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000265532,0.0004139993,0.9531871,0.0007929913,0.001432336,0.005122546,0.01178255,0.001162524,0.004873275,0.007984914,0.01038322,0.002598978],"study_design_scores_gemma":[0.006329293,0.000363723,0.4861034,0.001614317,0.00144686,0.0001620009,0.4486051,0.002939054,0.008559995,0.001991591,0.03705504,0.004829689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880958,0.0001351283,0.00005915995,0.000596448,0.001646977,0.0004870472,0.000289026,0.0003918483,0.008298564],"genre_scores_gemma":[0.974283,0.00004745429,0.0002328583,0.0002565046,0.0004030283,0.00001106328,0.003761511,0.0001802074,0.02082442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4670838,"threshold_uncertainty_score":0.9999333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01750268936953381,"score_gpt":0.2523677120673036,"score_spread":0.2348650226977698,"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."}}