{"id":"W3005263696","doi":"10.3390/logistics4010003","title":"Strategic Analysis of the Automation of Container Port Terminals through BOT (Business Observation Tool)","year":2020,"lang":"en","type":"article","venue":"Logistics","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Automation; Electrification; Port (circuit theory); Container (type theory); Process (computing); Computer science; Digital transformation; Systems engineering; Business process; Process automation system; Process management; Engineering management; Manufacturing engineering; Engineering; Operations management; Work in process; Electricity; World Wide Web","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":[0.00008306655,0.00009867389,0.0002771666,0.00003025439,0.00002076198,0.00001288664,0.0001338811,0.00006875513,0.0001106952],"category_scores_gemma":[0.0001806499,0.00007476856,0.00007712042,0.0007226905,0.00007063352,0.0000510307,0.00002606536,0.00006919134,0.000001192177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001536198,"about_ca_system_score_gemma":0.00002353506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007949038,"about_ca_topic_score_gemma":0.00001985022,"domain_scores_codex":[0.9992035,0.00001556983,0.0004204525,0.00009114328,0.0001707116,0.00009860909],"domain_scores_gemma":[0.9993827,0.00005706873,0.0001530747,0.0002086343,0.0001796432,0.00001882496],"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":[0.000008773457,0.00003561813,0.03591148,0.0004091377,0.0003394846,0.000006908673,0.0002877731,0.9055653,0.001579553,0.05469185,0.0005625012,0.0006016733],"study_design_scores_gemma":[0.0001299351,0.00002544157,0.2341181,0.00001967141,0.0008950378,8.042669e-7,0.00009729774,0.7609482,0.0008000866,0.002255807,0.0005681053,0.0001414776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2260093,0.0001173011,0.75663,0.0004583987,0.0003315174,0.0002839716,0.0002657827,0.0001544833,0.01574919],"genre_scores_gemma":[0.9977798,0.00002816777,0.001865094,0.0001182764,0.00004646933,0.000002689642,0.000095348,0.000009527525,0.00005462057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7717705,"threshold_uncertainty_score":0.3048974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07342087647355723,"score_gpt":0.2474286234884639,"score_spread":0.1740077470149067,"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."}}