{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003861889,0.0004990142,0.0003808476,0.0005996161,0.0008250083,0.00140972,0.0007762404,0.001335662,0.003300968],"category_scores_gemma":[0.001904918,0.0002197373,0.0006239054,0.0005351946,0.000977926,0.0008546611,0.001147024,0.0008099327,0.0001749694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001549619,"about_ca_system_score_gemma":0.001560798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1133697,"about_ca_topic_score_gemma":0.05923857,"domain_scores_codex":[0.999736,0.00005465868,0.00001127217,0.00003079525,0.0000631327,0.0001040632],"domain_scores_gemma":[0.9989002,0.0006017006,0.00008696903,0.00006361893,0.0001816827,0.0001659055],"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":[0.000149756,0.00009745479,0.005437822,0.00002516863,0.00001310817,0.0003179449,0.0001854553,0.9875114,0.001278829,0.001694077,0.0003993861,0.002889661],"study_design_scores_gemma":[0.00002767272,0.00007811655,0.00147913,0.000007446129,0.00001072099,0.00003141042,0.0002695071,0.9963781,0.0006997813,0.0004106791,0.0005944903,0.0000128304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679521,0.00008586684,0.0129669,0.0002800076,0.00005779894,0.00007722736,0.0003582538,0.0002136289,0.01800832],"genre_scores_gemma":[0.996331,0.0000365647,0.00205865,0.00001952198,0.000002695329,0.00001373752,0.0001020657,0.00001346218,0.001422327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1133697,"threshold_uncertainty_score":0.2254196,"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."}}