{"id":"W1560540926","doi":"","title":"Employment, hours, and earnings : states and areas","year":2010,"lang":"en","type":"book","venue":"Bernan Press eBooks","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Archaeology; Miami; Memphis; Las vegas; 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":[0.0007494675,0.0004842846,0.0004136007,0.004603424,0.0006157763,0.001341865,0.0008489302,0.0002751421,0.05551239],"category_scores_gemma":[0.00318722,0.0003630703,0.0003481929,0.01761472,0.000218692,0.0009861769,0.0008073947,0.0008413273,0.02494615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000683432,"about_ca_system_score_gemma":0.00168088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07961918,"about_ca_topic_score_gemma":0.06274465,"domain_scores_codex":[0.9994959,0.00006073729,0.00007259948,0.0001045448,0.0001799942,0.000086234],"domain_scores_gemma":[0.9976074,0.0004737741,0.0004485888,0.0001653158,0.001062291,0.0002425616],"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":[0.00008474239,0.00004928858,0.05151489,0.0003578252,0.00003181424,0.00002723719,0.0002197507,0.0004995109,0.00009023688,0.001832632,0.9027099,0.04258216],"study_design_scores_gemma":[0.00005750431,0.00005126894,0.5330417,0.0005790513,0.00003908401,0.0000707388,0.002027122,0.0006168439,0.0002231178,0.001101612,0.4621629,0.000029079],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0214274,0.002509439,0.0006457807,0.001031618,0.0006969468,0.0002217182,0.8973653,0.0004466908,0.07565515],"genre_scores_gemma":[0.100628,0.008262283,0.001712564,0.0005022914,0.0005899186,0.001077689,0.809292,0.0002185038,0.07771681],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07961918,"threshold_uncertainty_score":0.1857074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0297967113606969,"score_gpt":0.279064238665361,"score_spread":0.2492675273046641,"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."}}