{"id":"W7064661187","doi":"","title":"Community profile, Pee Dee Workforce Investment Area","year":2013,"lang":"en","type":"article","venue":"The South Carolina State Library Digital Collections (South Carolina State Library)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003255981,0.0003553571,0.000226788,0.004226584,0.00133769,0.00118375,0.0005289483,0.0003175748,0.1831275],"category_scores_gemma":[0.003326395,0.0001813417,0.0001457466,0.0068062,0.0001057675,0.001064247,0.0009977896,0.0006799868,0.09827474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006647545,"about_ca_system_score_gemma":0.002979814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09348404,"about_ca_topic_score_gemma":0.1792951,"domain_scores_codex":[0.9995856,0.00002709042,0.00002917004,0.00004595166,0.0002042169,0.0001079536],"domain_scores_gemma":[0.9973864,0.0001927013,0.0001938729,0.00008847466,0.001625081,0.0005134704],"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":[0.0000287616,0.00005045336,0.0132798,0.000137761,0.000003791139,0.0001011019,0.0004007506,0.00005091132,0.0001797954,0.0005278891,0.9463282,0.03891088],"study_design_scores_gemma":[0.00001468983,0.00002746637,0.08785142,0.0001850444,0.000004652438,0.0003002015,0.002521261,0.000130332,0.0001592363,0.0002536787,0.9085335,0.00001843788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.02929161,0.0006884433,0.0009417732,0.001948727,0.0002752214,0.0006832961,0.617955,0.001040967,0.347175],"genre_scores_gemma":[0.04591554,0.002188836,0.001876398,0.001505203,0.0001758508,0.001275503,0.3628741,0.0004622441,0.5837263],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1831275,"threshold_uncertainty_score":0.6126226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01513107620504453,"score_gpt":0.2106260895202876,"score_spread":0.1954950133152431,"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."}}