{"id":"W7045196567","doi":"","title":"America's New Post-Recession Employment Arithmetic","year":2009,"lang":"en","type":"other","venue":"Rutgers University Community Repository (Rutgers University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Real estate; Recession; Great recession; Quarter (Canadian coin); Set (abstract data type); Subject (documents); Global recession","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","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.0004220068,0.001879491,0.001911282,0.008111428,0.002757674,0.000249811,0.005275695,0.001732156,0.001520095],"category_scores_gemma":[0.00009221336,0.002536537,0.001187505,0.005274196,0.001379711,0.000884683,0.001562658,0.004112067,0.00172329],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004218844,"about_ca_system_score_gemma":0.001872713,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03697964,"about_ca_topic_score_gemma":0.00003549043,"domain_scores_codex":[0.9906493,0.004265754,0.0005880419,0.00154543,0.001304286,0.001647149],"domain_scores_gemma":[0.991447,0.0004328103,0.001730407,0.004103116,0.0004463709,0.001840289],"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":[0.0008696945,0.001460638,0.0001319599,0.0001641707,0.001475648,0.002275659,0.002252271,0.00008476361,0.1143446,0.00008589202,0.871076,0.005778712],"study_design_scores_gemma":[0.005227165,0.001152197,0.00003053453,0.001453459,0.002278754,0.0001035672,0.0008363833,0.00003972615,0.03106758,0.00005503971,0.9540054,0.003750183],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00007242151,0.0004075466,0.001049446,0.0003582481,0.001060456,0.001224558,0.0004626741,0.003586562,0.9917781],"genre_scores_gemma":[0.01041315,0.0005598948,0.003359905,0.0002817882,0.0003788708,2.952571e-7,0.001067802,0.001205875,0.9827324],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08327699,"threshold_uncertainty_score":0.9996038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01057331471106801,"score_gpt":0.1980953176059696,"score_spread":0.1875220028949016,"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."}}