{"id":"W1493162678","doi":"","title":"Employment, hours, and earnings : states and areas, 2005","year":2005,"lang":"en","type":"book","venue":"Bernan Press eBooks","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Archaeology; Miami; Memphis; Las vegas; West virginia; South carolina; Atlanta; Metropolitan area; Geography; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005352178,0.0004716334,0.0003447639,0.004529711,0.0005486688,0.001346518,0.0008175829,0.0002701163,0.02429645],"category_scores_gemma":[0.00243194,0.0003541631,0.000290493,0.01344158,0.0001406844,0.0009377362,0.0006293119,0.0006984497,0.01355115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001209365,"about_ca_system_score_gemma":0.002327589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1235739,"about_ca_topic_score_gemma":0.1424214,"domain_scores_codex":[0.9996417,0.00002925133,0.00006344637,0.00007060513,0.0001431613,0.00005193332],"domain_scores_gemma":[0.9981257,0.0002521505,0.0003666838,0.0001015181,0.0009778058,0.0001760447],"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":[0.00006079393,0.00004161,0.05489844,0.0002982377,0.00002502959,0.00002122096,0.0001693769,0.0004778378,0.00004184898,0.0007460654,0.9088028,0.03441689],"study_design_scores_gemma":[0.00002404978,0.00002867452,0.5483389,0.0005305129,0.00003094205,0.00005669386,0.001171211,0.0004021479,0.0001324846,0.0003926178,0.448874,0.00001773556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01491029,0.004122109,0.0003817115,0.0007587034,0.0005542493,0.0001355145,0.9415139,0.0002565976,0.03736699],"genre_scores_gemma":[0.06706264,0.008822776,0.001298019,0.0005194298,0.0004042151,0.0003913575,0.8654763,0.00008442139,0.05594079],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1235739,"threshold_uncertainty_score":0.2457093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03076428534726531,"score_gpt":0.2794351189755921,"score_spread":0.2486708336283268,"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."}}