{"id":"W7036484526","doi":"","title":"Briefing No. 6 - Financial Inequalities and the Pandemic","year":2023,"lang":"en","type":"report","venue":"UCL Discovery (University College London)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast","keywords":"Population; Work (physics); Government (linguistics); Circumstantial evidence; Limiting; Poverty","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.004093599,0.001499388,0.0009892239,0.0009163902,0.004440489,0.005146655,0.002916804,0.0237352,0.07982779],"category_scores_gemma":[0.01038534,0.0007407012,0.001365185,0.0004905239,0.002310761,0.004596769,0.006400666,0.01794472,0.01807555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002223851,"about_ca_system_score_gemma":0.006132597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008870701,"about_ca_topic_score_gemma":0.0181555,"domain_scores_codex":[0.9971111,0.0008332623,0.0002392182,0.0004177366,0.0006366,0.0007619468],"domain_scores_gemma":[0.9923484,0.00266943,0.0006229567,0.0003735908,0.00100727,0.002978317],"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":[0.00002454957,0.00005624177,0.0004249538,0.0003025245,0.000007432609,0.0001426057,0.0002099663,0.00001755003,0.0001195177,0.001643108,0.9827983,0.01425326],"study_design_scores_gemma":[0.0000337994,0.00009245897,0.00323927,0.001214377,0.00001292742,0.0001434675,0.0005407326,0.00005747103,0.0001007418,0.00169452,0.9928439,0.00002619183],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001356185,0.02306324,0.0001489184,0.7198678,0.2258117,0.000150157,0.00101531,0.0001622612,0.02842444],"genre_scores_gemma":[0.01209615,0.02679186,0.0006068095,0.4995684,0.3266356,0.0005636212,0.001211106,0.0001630791,0.1323635],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07982779,"threshold_uncertainty_score":0.2670506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05116031422292213,"score_gpt":0.2588343856266789,"score_spread":0.2076740714037568,"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."}}