{"id":"W7055389635","doi":"","title":"Community profile, Upper Savannah Workforce Investment Area","year":2013,"lang":"en","type":"article","venue":"The South Carolina State Library Digital Collections (South Carolina State Library)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Directory; Investment (military); Workforce; Quarter (Canadian coin); Census; Work (physics)","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":[0.0002236721,0.0003446562,0.000177988,0.002694051,0.00167007,0.0009538052,0.0006062591,0.0002509127,0.1243175],"category_scores_gemma":[0.00155598,0.0001639655,0.0001223562,0.004480327,0.0001039431,0.0006302653,0.0008852556,0.0005399275,0.05032315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00068169,"about_ca_system_score_gemma":0.003226837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2017939,"about_ca_topic_score_gemma":0.3965525,"domain_scores_codex":[0.9997336,0.00001791405,0.0000143599,0.00002957318,0.0001276923,0.00007688328],"domain_scores_gemma":[0.9986699,0.00007199112,0.00008496819,0.00003963662,0.0008481659,0.0002854073],"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":[0.00004317674,0.0000892006,0.03860488,0.0001466075,0.000005572093,0.0002152097,0.001073069,0.00007134463,0.0003269183,0.0005076648,0.9080238,0.05089258],"study_design_scores_gemma":[0.00002411894,0.00005224292,0.2740436,0.0002621195,0.000007372047,0.0003746451,0.007295072,0.0002208998,0.0001762058,0.0002675766,0.7172506,0.00002545109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.103358,0.0007119129,0.0007338261,0.002115122,0.0003181727,0.0008489595,0.4846048,0.001046867,0.4062623],"genre_scores_gemma":[0.1028571,0.001940397,0.002463337,0.001869265,0.0002163784,0.002163569,0.2977211,0.0003785161,0.5903904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2017939,"threshold_uncertainty_score":0.4158834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01408637453413453,"score_gpt":0.1859223279342838,"score_spread":0.1718359534001492,"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."}}