{"id":"W4367181747","doi":"10.3390/jmse11050927","title":"Visibility Performance Assessment: Simulation of a Digital Shadow in a Port","year":2023,"lang":"en","type":"article","venue":"Journal of Marine Science and Engineering","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Trois-Rivières","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Visibility; Shadow (psychology); Port (circuit theory); Computer science; Supply chain; Strengths and weaknesses; Order (exchange); Operations research; Business; Engineering; Marketing; Finance; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007806469,0.000059289,0.0001307435,0.0003224646,0.00001589581,0.00003702971,0.00009036602,0.00001841862,0.000009096184],"category_scores_gemma":[0.0001501615,0.0000527494,0.0000183027,0.000601772,0.00003908976,0.00049088,0.00006972501,0.0001182383,3.798371e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004458892,"about_ca_system_score_gemma":0.00004255046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003019701,"about_ca_topic_score_gemma":7.123511e-7,"domain_scores_codex":[0.9992517,0.000001212033,0.0002885351,0.00005882369,0.0002574847,0.0001422148],"domain_scores_gemma":[0.9997051,0.00004054505,0.00004363621,0.00006494305,0.00009224513,0.00005353624],"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":[0.000002063672,0.000007002126,0.08162515,0.00009349373,0.000002868071,0.000009831007,0.00004572043,0.8937273,0.0006841667,0.00003168706,0.000007196004,0.02376354],"study_design_scores_gemma":[0.00007838604,0.00002622659,0.3602948,0.0000245439,0.000001883648,0.000008819992,0.00001355573,0.6393303,0.00005945798,0.00004760735,0.00007716143,0.00003732977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958501,0.00001078369,0.002199501,0.00001202838,0.0001760822,0.00003041071,0.000001184221,0.0000225702,0.001697321],"genre_scores_gemma":[0.9993002,0.0000566866,0.0005929351,0.000001448304,0.00002992339,4.071634e-7,6.664874e-7,0.000005118252,0.00001260363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2786696,"threshold_uncertainty_score":0.2151058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01285990947577281,"score_gpt":0.2495280307242363,"score_spread":0.2366681212484635,"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."}}