{"id":"W4241213813","doi":"10.1920/wp.ifs.2000.0018","title":"Progressivity comparisons","year":2017,"lang":"en","type":"paratext","venue":"","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001087979,0.0002288858,0.0005167172,0.00005190409,0.002054071,0.0004690854,0.001037649,0.0005755012,0.02061434],"category_scores_gemma":[0.0002687375,0.0001911177,0.0001924053,0.00006341803,0.0007422818,0.0002281858,0.0001526407,0.0004641503,0.02199423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001630727,"about_ca_system_score_gemma":0.0008793938,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02345764,"about_ca_topic_score_gemma":0.01511799,"domain_scores_codex":[0.9977872,0.0004044542,0.000271196,0.000372364,0.0006133445,0.0005514038],"domain_scores_gemma":[0.9984222,0.0001095072,0.0004132344,0.0006721294,0.0001845452,0.0001983504],"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":[0.000004662557,0.0000761918,0.0008059405,0.00003401491,0.00002334323,0.000001597848,0.0008624708,1.912752e-7,4.528296e-7,0.01210421,0.9840361,0.002050801],"study_design_scores_gemma":[0.0001037599,0.0000180264,0.0006126256,0.00005057127,0.00001605383,1.548093e-7,0.0003528575,0.000005312728,0.00001459015,0.0002197969,0.9983097,0.0002965041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001943571,0.0005822186,0.000217692,0.001678113,0.006830199,0.0003777675,0.00009964666,0.00007742261,0.9899426],"genre_scores_gemma":[0.05354601,0.0005525438,0.00022276,0.000312348,0.002813279,0.00002989005,0.00009326058,0.00001824182,0.9424117],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05335165,"threshold_uncertainty_score":0.9992451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1027962623223523,"score_gpt":0.4165828556787213,"score_spread":0.313786593356369,"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."}}