{"id":"W4249356694","doi":"10.1109/wsc.2000.899188","title":"Optimizing earthmoving operations using object-oriented simulation","year":2002,"lang":"en","type":"article","venue":"2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165)","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Task (project management); Computer science; Object (grammar); Systems engineering; Engineering; Engineering drawing; Industrial engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001379685,0.0004672804,0.00035709,0.0003652952,0.000399628,0.0004157204,0.0002304025,0.0002385913,0.0006687445],"category_scores_gemma":[0.0003082252,0.0005266546,0.000102805,0.000413045,0.00007366057,0.001570769,0.00007271067,0.0002678497,0.0001684692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003932132,"about_ca_system_score_gemma":0.00003638458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000152801,"about_ca_topic_score_gemma":0.000006217501,"domain_scores_codex":[0.9977571,0.00001794241,0.000684479,0.0005564111,0.0003680216,0.0006160325],"domain_scores_gemma":[0.998501,0.0001156174,0.0001371752,0.0002405288,0.0008161332,0.0001895316],"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":[0.00001621348,0.00003738926,0.0002033428,0.0000630992,0.00003384555,0.000001398333,0.002810246,0.991093,0.003987824,0.0002092898,0.00005250943,0.001491817],"study_design_scores_gemma":[0.0005430027,0.00005263704,0.0001623429,0.0001580261,0.0000469947,0.00000322416,0.0002158981,0.9960145,0.001307046,0.00009318724,0.0008248893,0.0005782614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1569702,0.00002653833,0.8350095,0.00003135567,0.0006094691,0.000453471,0.00001419632,0.0009016421,0.005983638],"genre_scores_gemma":[0.8764365,0.00003810309,0.1221556,0.00009331194,0.0003782477,0.00002443476,0.00004980852,0.00009318488,0.0007307472],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7194664,"threshold_uncertainty_score":0.9997185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03461608371879639,"score_gpt":0.2571946474799117,"score_spread":0.2225785637611153,"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."}}