{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009542456,0.0002005208,0.0003872344,0.003067178,0.00158918,0.002349737,0.0003099958,0.0003446174,0.003008119],"category_scores_gemma":[0.003350697,0.0000765864,0.0004685679,0.005671043,0.000736557,0.0004075535,0.001288748,0.0003752688,0.0002185304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01157814,"about_ca_system_score_gemma":0.01149184,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9159544,"about_ca_topic_score_gemma":0.927767,"domain_scores_codex":[0.9992465,0.0001022794,0.00002363804,0.00006783714,0.0002239037,0.0003359523],"domain_scores_gemma":[0.9990653,0.0001565191,0.0002033705,0.00003818485,0.0003419722,0.0001946023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008128519,0.000167597,0.7639183,0.0003692623,0.0002942411,0.0008027219,0.01132952,0.004029241,0.0003804698,0.05134329,0.03593495,0.1306175],"study_design_scores_gemma":[0.00001274103,0.00002313607,0.9615848,0.0003560789,0.00004936934,0.0001045184,0.007391477,0.0008072011,0.0001392559,0.000911028,0.02859697,0.00002342195],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8484969,0.01171079,0.0003758813,0.007733756,0.0001652182,0.00002534302,0.009493121,0.00003542057,0.1219636],"genre_scores_gemma":[0.9856226,0.004230971,0.0002731354,0.0003893248,0.00006935507,0.00001482509,0.002847036,0.00002268309,0.006530151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08404559,"threshold_uncertainty_score":0.169081,"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."}}