{"id":"W19649111","doi":"10.1364/josaa.26.001767","title":"FLEXIBLE VALUATION OF WORKFORCE COMPETENCES: A QUANTITATIVE APPROACH","year":2014,"lang":"en","type":"article","venue":"ICERI2014 Proceedings","topic":"Business and Economic Development","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Workforce; Valuation (finance); Business; Economics; Accounting; Economic growth","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005385327,0.0001082124,0.0001730921,0.00003295188,0.00007418676,0.00003110328,0.0001975723,0.00004522369,0.0004140506],"category_scores_gemma":[0.00004296735,0.00009578404,0.00003167897,0.0002114742,0.0001395029,0.0003408921,0.00009735354,0.00005255088,0.000270617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006344787,"about_ca_system_score_gemma":0.000008640613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001056075,"about_ca_topic_score_gemma":0.00000305038,"domain_scores_codex":[0.999121,0.000005940155,0.0002394101,0.0002595553,0.000188216,0.000185911],"domain_scores_gemma":[0.999645,0.00002141568,0.0001846482,0.00007052412,0.00002668493,0.00005173392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002852773,0.0006948863,0.4749371,0.0004907242,0.00009824597,2.965627e-7,0.02170211,0.01172178,0.04769741,0.2760203,0.01494435,0.1514076],"study_design_scores_gemma":[0.001880801,0.0004872153,0.6087291,0.0002045442,0.00006811826,0.00001644037,0.004139943,0.2362175,0.01512902,0.02956784,0.1023316,0.001227863],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7056952,0.00001487638,0.02226959,0.0001434801,0.0001051913,0.0002087174,9.562724e-7,0.00005041049,0.2715116],"genre_scores_gemma":[0.957729,0.000007548598,0.04139669,0.0001182272,0.00002229448,0.00003235909,0.000003798199,0.00001050644,0.0006795789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.270832,"threshold_uncertainty_score":0.4533564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0456058393920193,"score_gpt":0.2405075394888933,"score_spread":0.194901700096874,"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."}}