{"id":"W4402192158","doi":"10.26504/jr7","title":"Poverty, income inequality and living standards in Ireland: Fourth annual report","year":2024,"lang":"en","type":"report","venue":"","topic":"Labour Market and Migration","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Poverty; Standard of living; Inequality; Economic inequality; Economics; Demographic economics; Development economics; Economic growth; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004603509,0.001165421,0.0009169425,0.004488259,0.0004536028,0.003022176,0.001297806,0.0008563036,0.009893401],"category_scores_gemma":[0.00566844,0.0007583036,0.00100399,0.006367669,0.000443665,0.002578813,0.004169112,0.002020394,0.007125459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005590694,"about_ca_system_score_gemma":0.01096312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1005729,"about_ca_topic_score_gemma":0.06754271,"domain_scores_codex":[0.9971095,0.0002286724,0.0002981725,0.0001348394,0.001467721,0.0007610603],"domain_scores_gemma":[0.993692,0.0002448648,0.0008251905,0.0002945461,0.003923618,0.001019688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00009584963,0.000113897,0.0161258,0.0008199935,0.00004729838,0.00005894152,0.0003806442,0.0005349097,0.0001174686,0.0007248774,0.8974544,0.08352585],"study_design_scores_gemma":[0.00002353469,0.0001051477,0.1662414,0.001258507,0.0000316484,0.0001164941,0.00141245,0.0002898033,0.0002350326,0.0003315673,0.8298929,0.00006151649],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.07703304,0.09233747,0.004927019,0.04682662,0.02611645,0.003295434,0.50657,0.002278491,0.2406154],"genre_scores_gemma":[0.1443544,0.1082658,0.00777791,0.004778914,0.004586215,0.005692001,0.4588338,0.001374141,0.264337],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1005729,"threshold_uncertainty_score":0.1999751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0229304603777761,"score_gpt":0.3584408750410661,"score_spread":0.33551041466329,"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."}}