{"id":"W133259137","doi":"10.5957/jsp.2008.24.1.1","title":"A Linear Programming Approach to Optimization of Ship Design and Construction Phases","year":2008,"lang":"en","type":"article","venue":"Journal of Ship Production","topic":"BIM and Construction Integration","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Rework; Shipbuilding; Schedule; Engineering; Duration (music); Linear programming; Operations research; Construction management; Design–build; Naval architecture; Computer science; Mathematical optimization; Civil engineering; Mathematics; Marine 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":[],"consensus_categories":[],"category_scores_codex":[0.000313518,0.0000999039,0.0001681819,0.0002701578,0.00007179959,0.00001628049,0.00004521247,0.0000686388,0.000006479319],"category_scores_gemma":[0.0001164232,0.000091612,0.00004119334,0.0003244122,0.00007607222,0.0004163933,0.000004487327,0.0001558222,5.215184e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004920404,"about_ca_system_score_gemma":0.00003617117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002037722,"about_ca_topic_score_gemma":2.257684e-7,"domain_scores_codex":[0.9991584,0.00004363676,0.0004071631,0.0001080236,0.000186931,0.00009586509],"domain_scores_gemma":[0.9993633,0.00001277239,0.0001746841,0.00007826315,0.0003087271,0.00006224066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001801927,0.00009368327,0.001204196,0.0001164127,0.00007170015,0.000001541423,0.001353519,0.8984179,0.01169871,0.0003736667,0.0005754937,0.08591297],"study_design_scores_gemma":[0.003462707,0.002425327,0.004420627,0.0008154006,0.0005129637,0.02414312,0.005719957,0.4290797,0.5203152,0.001539304,0.006231926,0.001333802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2218512,0.0002708706,0.7764505,0.00009167321,0.0009278121,0.0002199102,5.3612e-7,0.00004715902,0.0001403424],"genre_scores_gemma":[0.6274057,0.0001496367,0.3720118,0.000004007206,0.0003844086,0.000006465339,0.000001661601,0.00001161626,0.00002472941],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5086164,"threshold_uncertainty_score":0.3735829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03528924747972239,"score_gpt":0.2303881014103877,"score_spread":0.1950988539306653,"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."}}