{"id":"W7162348032","doi":"","title":"Ανισότητα και ποσοστά θνησιμότητας στις αναπτυσσόμενες χώρες","year":2020,"lang":"en","type":"other","venue":"Νημερτής","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phenomenon; Developing country; Inequality; Social inequality; Sample (material); Welfare; Welfare state; Developed country","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","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0003600436,0.001701105,0.001826066,0.0009148743,0.0001599545,0.0002357742,0.002046826,0.001540817,0.07289255],"category_scores_gemma":[0.0003429684,0.001735504,0.0007453443,0.001421132,0.0004171829,0.0001709551,0.0006860671,0.00162761,0.3152879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003921017,"about_ca_system_score_gemma":0.0004512825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007997691,"about_ca_topic_score_gemma":0.0005678261,"domain_scores_codex":[0.9934538,0.0003260395,0.0009171161,0.00207336,0.001649191,0.001580519],"domain_scores_gemma":[0.9954966,0.0001187083,0.0009637414,0.002424256,0.00009732713,0.0008993172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005995707,0.0001600848,0.00008084501,0.0003042899,0.0005153777,0.0003953519,0.0002107345,0.000003920438,0.00104306,0.002220013,0.9737381,0.02126832],"study_design_scores_gemma":[0.001209679,0.0001301904,0.0009283219,0.0005142664,0.0003207802,0.00004850039,0.00007199099,0.00002170662,0.0003098767,0.0003520872,0.9942101,0.001882562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00009419387,0.004489081,0.0001333036,0.0007700454,0.002483543,0.001319232,0.002431888,0.005598041,0.9826807],"genre_scores_gemma":[0.009156028,0.0004286845,0.004530115,0.002907294,0.009207164,0.0003149749,0.0001734299,0.01615597,0.9571263],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2423953,"threshold_uncertainty_score":0.9997554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478038632980197,"score_gpt":0.2414022107139366,"score_spread":0.2266218243841346,"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."}}