{"id":"W6999337425","doi":"","title":"Community profile, Pee Dee Workforce Investment Area","year":2015,"lang":"en","type":"article","venue":"The South Carolina State Library Digital Collections (South Carolina State Library)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Education Sciences","keywords":"Investment (military); Workforce; Census; Directory; Government (linguistics); Economic data; Quarter (Canadian coin)","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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004855484,0.000865356,0.001300573,0.001109872,0.001541869,0.002060933,0.001614097,0.0002054359,0.0003503115],"category_scores_gemma":[0.0001387533,0.0007951253,0.0008192256,0.003300615,0.0005545889,0.004874827,0.001062446,0.001189667,0.000923018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001932344,"about_ca_system_score_gemma":0.000508032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004764941,"about_ca_topic_score_gemma":0.00002519832,"domain_scores_codex":[0.9954241,0.0002633868,0.001884121,0.001005152,0.0002456431,0.001177604],"domain_scores_gemma":[0.9959704,0.0002381067,0.001090436,0.001687287,0.00009482631,0.0009189368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002929815,0.001684947,0.4470549,0.0003121599,0.003274006,0.0002119344,0.07426401,0.04794726,0.000003407267,0.1362076,0.2840264,0.002083594],"study_design_scores_gemma":[0.004080418,0.001130392,0.01872064,0.0001073705,0.0001586833,0.00007179679,0.00446952,0.0233526,0.0001879782,0.628967,0.3159871,0.002766451],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6324574,0.0009957795,0.001646108,0.004423674,0.0008467475,0.001317413,0.0088575,0.0007139147,0.3487415],"genre_scores_gemma":[0.852388,0.0001242719,0.0004215974,0.001938415,0.0002588999,0.0002114926,0.001019337,0.0002331014,0.1434049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4927595,"threshold_uncertainty_score":0.9998549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04502823025835221,"score_gpt":0.2009184342812363,"score_spread":0.1558902040228841,"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."}}