{"id":"W6996121830","doi":"","title":"2017 Quarter 4 New River Mount Rogers (WDA II) Quarterly Workforce Report","year":2019,"lang":"en","type":"report","venue":"VTechWorks (Virginia Tech)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Quarter (Canadian coin); Commission; Workforce development; Workforce planning; Leverage (statistics); Mount; Diversification (marketing strategy)","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":[0.001642029,0.000506312,0.0003399897,0.002733407,0.001368311,0.004316684,0.0009363854,0.0007252797,0.1198887],"category_scores_gemma":[0.005904348,0.0003398756,0.0003477281,0.002987751,0.0002717872,0.001397162,0.001662927,0.001191729,0.0957842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003638083,"about_ca_system_score_gemma":0.01082867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08581883,"about_ca_topic_score_gemma":0.1115146,"domain_scores_codex":[0.9980606,0.0001177658,0.00008796318,0.0001484875,0.001211807,0.000373389],"domain_scores_gemma":[0.9950154,0.00027022,0.0003492332,0.0002560339,0.003343399,0.0007657018],"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":[0.000006628903,0.000008435646,0.0008252924,0.00002141226,8.046214e-7,0.000006690159,0.00003186176,0.00001411716,0.00002128252,0.0004919624,0.9916335,0.006937934],"study_design_scores_gemma":[0.000002745087,0.000006948889,0.00425955,0.00008037359,9.503182e-7,0.000007653348,0.000265715,0.00003235991,0.000057748,0.0001482908,0.9951335,0.000004211697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01538245,0.003678847,0.001567765,0.03122413,0.01770179,0.0007199106,0.3099481,0.001528876,0.6182481],"genre_scores_gemma":[0.01768099,0.004367575,0.001227356,0.003311785,0.001934941,0.0008240167,0.1462938,0.0008483308,0.8235113],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1198887,"threshold_uncertainty_score":0.4010677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03143818111728001,"score_gpt":0.3005179131258035,"score_spread":0.2690797320085235,"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."}}