{"id":"W4238169356","doi":"10.1002/9781118786352.wbieg0072","title":"Containerization","year":2017,"lang":"en","type":"other","venue":"International Encyclopedia of Geography","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Containerization; Scope (computer science); Port (circuit theory); Globalization; Business; Transformation (genetics); International trade; Economic geography; Container (type theory); Computer science; Commerce; Industrial organization; Engineering; Geography; Economics; Market economy; Mechanical 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003191896,0.0001454651,0.0001772007,0.0003292157,0.00001199518,0.00001763367,0.0003099367,0.0001479247,0.002499282],"category_scores_gemma":[0.00002845844,0.0001493095,0.00009499351,0.00002633285,0.00006716693,0.00003043531,0.00002906233,0.00009097388,0.00001890089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007221952,"about_ca_system_score_gemma":0.000009942714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002947501,"about_ca_topic_score_gemma":0.00007664185,"domain_scores_codex":[0.9994501,0.000003491795,0.0001546163,0.0001104843,0.0001879144,0.00009343539],"domain_scores_gemma":[0.9995469,0.00001198865,0.0001365272,0.000226135,0.00004476667,0.0000336376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002752944,0.00002482046,0.008692527,0.00011788,0.000318756,0.00001525374,0.00001039173,0.0001610832,0.000003496698,0.002974156,0.9632458,0.02443306],"study_design_scores_gemma":[0.0001096071,0.000007009305,0.001920098,0.0001094525,0.00002126071,0.000001349512,0.000001050107,0.0002644975,0.000004200052,0.0002521235,0.9971634,0.0001460152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000006677428,0.00074718,0.00276353,0.00001564552,0.002548869,0.00008774323,0.0002345428,0.000195033,0.9934008],"genre_scores_gemma":[0.01080029,0.0187712,0.001463751,0.00003009479,0.001658994,0.00003148453,0.0009045882,0.0004110897,0.9659285],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03391752,"threshold_uncertainty_score":0.9984125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00497628937531301,"score_gpt":0.2152694457922891,"score_spread":0.2102931564169761,"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."}}