{"id":"W4244271284","doi":"10.1002/pop4.47","title":"Issue Information","year":2014,"lang":"en","type":"paratext","venue":"Poverty & Public Policy","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Computer science; Information retrieval; World Wide Web; Library 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001834815,0.00044604,0.0006609808,0.0007174649,0.0009929286,0.001031549,0.001275329,0.001006197,0.01688134],"category_scores_gemma":[0.002692329,0.0004151775,0.000314961,0.0009886429,0.0003340004,0.002356296,0.0002385667,0.0006494435,0.09141324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001127788,"about_ca_system_score_gemma":0.003882006,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.101413,"about_ca_topic_score_gemma":0.002341681,"domain_scores_codex":[0.9956282,0.0006745259,0.0007975511,0.000363357,0.001238484,0.001297928],"domain_scores_gemma":[0.9973249,0.0001973972,0.0006462354,0.0007530856,0.0005177552,0.0005606705],"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":[0.000005547752,0.00003438604,0.00003373664,0.00008236703,0.00003379976,1.317274e-7,0.003346449,9.316896e-7,5.484646e-7,0.1165191,0.8591833,0.02075973],"study_design_scores_gemma":[0.0002776606,0.00003521229,0.0001801527,0.00003769693,0.00001465568,7.592284e-7,0.0003542004,0.00002552328,0.000005307145,0.001649244,0.996906,0.0005136217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004238768,0.0002580832,0.0005101801,0.03576221,0.006937964,0.0004252558,0.0004231556,0.0001695482,0.9554712],"genre_scores_gemma":[0.02111466,0.002940092,0.00009265329,0.08131334,0.02575328,0.00009686036,0.00184346,0.00006827358,0.8667774],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1377227,"threshold_uncertainty_score":0.99983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03254114483015117,"score_gpt":0.3382916600248288,"score_spread":0.3057505151946776,"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."}}