{"id":"W4323240735","doi":"10.5220/0011620400003396","title":"Workforce Modelling with Experience Accumulation","year":2023,"lang":"en","type":"article","venue":"","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Department of National Defence; Defence Research and Development Canada","funders":"","keywords":"Workforce; Computer science; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001565266,0.001062098,0.001366412,0.001080724,0.0006646598,0.001920887,0.002335034,0.002529156,0.01288691],"category_scores_gemma":[0.008962241,0.001182647,0.001822329,0.001274616,0.0009955917,0.002253674,0.002790217,0.001858433,0.001455147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001128187,"about_ca_system_score_gemma":0.001559551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02265727,"about_ca_topic_score_gemma":0.01207053,"domain_scores_codex":[0.9991627,0.0003237968,0.00004121341,0.000189611,0.0001030574,0.0001797109],"domain_scores_gemma":[0.9965347,0.002434442,0.0002541532,0.0002154948,0.0002801254,0.0002811306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003713417,0.0000378699,0.0007485694,0.00004050683,0.00002501847,0.00008205064,0.00009309391,0.9669516,0.0001231302,0.0236488,0.0008485093,0.007363752],"study_design_scores_gemma":[0.000007225965,0.00001119966,0.0001124999,0.00001270698,0.000006001996,0.0000112126,0.00002004513,0.9822662,0.00005293236,0.01684416,0.0006503158,0.000005401499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05369309,0.0005648149,0.9209995,0.001365928,0.0002602461,0.0001163713,0.0007906148,0.0003713327,0.02183803],"genre_scores_gemma":[0.8877509,0.0005765939,0.07381788,0.0002133474,0.0001880272,0.0003420275,0.0007243141,0.0001988601,0.03618809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02265727,"threshold_uncertainty_score":0.0450508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09205138164687,"score_gpt":0.295262907094564,"score_spread":0.2032115254476941,"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."}}