{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.004952336,0.004130602,0.004840868,0.002928303,0.001026209,0.0009008651,0.004372297,0.006779409,0.002951349],"category_scores_gemma":[0.0008022782,0.004192031,0.002662654,0.003070594,0.0009377266,0.001436864,0.0009156279,0.007429037,0.03907647],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007369136,"about_ca_system_score_gemma":0.008513183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005669632,"about_ca_topic_score_gemma":0.0004649352,"domain_scores_codex":[0.9777047,0.0003611844,0.004842954,0.005586321,0.007438389,0.004066459],"domain_scores_gemma":[0.9781916,0.0003977466,0.006480613,0.01151651,0.001802285,0.0016112],"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":[0.0002839801,0.0003816255,0.001181813,0.0002771714,0.001163506,0.005157164,0.001040337,0.0002851943,0.0005944362,0.0002804202,0.9686606,0.02069375],"study_design_scores_gemma":[0.001960925,0.0009425197,0.001987409,0.003000429,0.001308129,0.007695524,0.0003258376,0.0002288265,0.00010105,0.0009509463,0.9765157,0.00498269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0252339,0.01783179,0.01338115,0.002306802,0.03620346,0.01502615,0.002658697,0.01804354,0.8693145],"genre_scores_gemma":[0.1786617,0.001895547,0.01256811,0.0005279487,0.01158909,0.001045666,0.007828586,0.006040753,0.7798426],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1534278,"threshold_uncertainty_score":0.9979601,"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."}}