{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00134695,0.001135962,0.0006386623,0.001335838,0.0004879097,0.001480189,0.0007825046,0.001210684,0.004036758],"category_scores_gemma":[0.005278073,0.0004151495,0.0009720432,0.0006231136,0.0004073168,0.001484415,0.0008269425,0.0008466137,0.0003725171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001708881,"about_ca_system_score_gemma":0.001708038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02101691,"about_ca_topic_score_gemma":0.007976222,"domain_scores_codex":[0.9991437,0.0003124681,0.00004602624,0.000108527,0.0002894629,0.00009982215],"domain_scores_gemma":[0.9976998,0.001726359,0.0001912176,0.00008540584,0.0002434685,0.00005371397],"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":[0.00005722685,0.00008058667,0.004345288,0.00004741509,0.00004658122,0.00005725594,0.00007338331,0.9867859,0.001129125,0.002017982,0.0001420508,0.005217028],"study_design_scores_gemma":[0.000009431869,0.00009495828,0.001300331,0.000007043237,0.00001289494,0.000007670821,0.00003624796,0.9972103,0.000347812,0.0007942764,0.0001719385,0.000007104234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5865223,0.0001851295,0.3868127,0.0004665239,0.00007172233,0.0009127146,0.001094521,0.001015587,0.02291873],"genre_scores_gemma":[0.9791284,0.00008805706,0.01847756,0.00002645165,0.000005671367,0.0003515495,0.0002715446,0.00002874697,0.001622042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02101691,"threshold_uncertainty_score":0.04178911,"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."}}