{"id":"W2183410217","doi":"","title":"Using a Systems Dynamics Model to Assess Skill Level Impact","year":2013,"lang":"en","type":"article","venue":"NPARC","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Task (project management); Process (computing); Set (abstract data type); Key (lock); System dynamics; Product (mathematics); Production (economics); Throughput; Industrial engineering; Machine learning; Artificial intelligence; Engineering; Systems engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001972,0.0001583581,0.0001650892,0.0002180206,0.0001363688,0.0005386691,0.0001967704,0.00005596006,0.0001700058],"category_scores_gemma":[0.00006743849,0.00013746,0.00004277646,0.000421807,0.00001036432,0.001355167,0.000126841,0.00006756538,0.0005458135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001598819,"about_ca_system_score_gemma":0.00004948434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003630316,"about_ca_topic_score_gemma":0.00001715382,"domain_scores_codex":[0.9990218,0.00000546836,0.0002086365,0.0002352616,0.0002324348,0.0002964457],"domain_scores_gemma":[0.9993992,0.000007553518,0.0001061059,0.0002000704,0.0002650507,0.00002205275],"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":[0.00006557813,0.0002849884,0.05479961,0.0005778553,0.0001857417,0.000009423937,0.0004552481,0.6519278,0.05398721,0.123078,0.09651437,0.01811417],"study_design_scores_gemma":[0.0001677468,0.000001952539,0.003992502,0.00003631537,0.00001730397,0.00000139708,0.00009560915,0.9911897,0.00004417958,0.003960485,0.000267237,0.000225625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8624579,0.000006976071,0.1036543,0.0004920515,0.0004214539,0.0005443823,0.000004652519,0.0001378087,0.03228048],"genre_scores_gemma":[0.9900857,7.76272e-7,0.007441228,0.000478555,0.0004510123,0.00003376422,0.00004421517,0.00003228488,0.001432472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3392619,"threshold_uncertainty_score":0.701551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09040341949257788,"score_gpt":0.2844272985986875,"score_spread":0.1940238791061096,"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."}}