{"id":"W6939355145","doi":"10.6068/dp154c9277fd54","title":"TREND: (PWC) Bureau of Labor Statistics. State and Metro Area Employment, Hours, and Earnings: All Employees | State: New Hampshire | Seasonally Adjusted: Non-Seasonally Adjusted | Industry: Total Private, Computer and Electronic Product Manufacturing, Information, Finance and Insurance, Educational Services, Health Care and Social Assistance, 01/1990 - 11/2015. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 002-030-001","year":2016,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nonfarm payrolls; Earnings; Metropolitan area; Closing (real estate); Population; Quarter (Canadian coin); Sample (material); Current Population Survey","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":[0.001477365,0.001796631,0.001672823,0.003835392,0.0009413137,0.002407724,0.002950669,0.001263566,0.09852356],"category_scores_gemma":[0.01336206,0.001189156,0.00108461,0.01381507,0.000284883,0.00235521,0.001584966,0.002736822,0.1102167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002813576,"about_ca_system_score_gemma":0.005373705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1803233,"about_ca_topic_score_gemma":0.1436356,"domain_scores_codex":[0.9982362,0.0001936353,0.000319747,0.0004415099,0.0005660939,0.0002428765],"domain_scores_gemma":[0.9879859,0.001355786,0.00134447,0.0008230667,0.007977745,0.0005130412],"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":[0.00001606885,0.000007687183,0.0009020157,0.0001568376,0.00001047434,0.000004339185,0.0000100379,0.00006202784,0.00001161101,0.0001724995,0.9976882,0.0009582984],"study_design_scores_gemma":[0.0002650017,0.00002898747,0.02693602,0.0005562999,0.00004630603,0.00002835105,0.0002737931,0.0003337521,0.0001507005,0.0006675522,0.9706714,0.00004179035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006611212,0.00001537928,0.00002976624,0.00005625941,0.00002595156,0.00001471113,0.9992741,0.00003859509,0.0004791236],"genre_scores_gemma":[0.000394214,0.00004891624,0.0001620445,0.00005850461,0.00002096523,0.0001794675,0.9977888,0.00004691618,0.001300263],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1803233,"threshold_uncertainty_score":0.3585474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01324978735984607,"score_gpt":0.275554950986556,"score_spread":0.26230516362671,"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."}}