{"id":"W4402488123","doi":"10.3390/app14188213","title":"Prediction of Ship-Unloading Time Using Neural Networks","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Artificial neural network; Computer science; Artificial intelligence","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":[0.0002112658,0.00005777772,0.00007079624,0.00005899843,0.00006135638,0.00006323684,0.0000835614,0.00003221825,0.0001060379],"category_scores_gemma":[0.000003535297,0.00004938596,0.00001802019,0.0002733774,0.0001131976,0.00006935083,0.00001700116,0.00006865084,0.000005496874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001213771,"about_ca_system_score_gemma":0.000009122131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007780784,"about_ca_topic_score_gemma":6.458542e-7,"domain_scores_codex":[0.9995129,0.000002892591,0.0001215733,0.0001086166,0.0001139224,0.000140141],"domain_scores_gemma":[0.9998718,0.00003517534,0.00001018305,0.00005192828,0.000005378273,0.00002556587],"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":[6.227598e-7,0.000002725844,0.0002118929,0.0000481909,0.000006926384,0.000002582967,0.0001103721,0.9777423,0.006474565,0.005321722,0.0005441061,0.009533979],"study_design_scores_gemma":[0.00001376743,0.00000762088,0.0001194816,0.0000130635,0.000009565283,0.000003677011,0.00002526363,0.9985992,0.0004776674,0.000359144,0.0003244549,0.00004711719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6130292,0.002337963,0.1908609,0.00004455041,0.003048219,0.0003032001,0.00002925724,0.001149591,0.1891971],"genre_scores_gemma":[0.9989505,0.000006399392,0.0008553292,0.000007460589,0.000135989,0.00000191289,0.000002278372,0.000006368359,0.00003370153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3859214,"threshold_uncertainty_score":0.2013901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03470093518263542,"score_gpt":0.2281722210317923,"score_spread":0.1934712858491569,"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."}}