{"id":"W1572383061","doi":"10.4324/9781315246376","title":"Ports, Cities, and Global Supply Chains","year":2017,"lang":"en","type":"book","venue":"","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Port (circuit theory); Supply chain; Context (archaeology); Economy; Supply chain management; Engineering; Business; Economic geography; Operations research; Management; Economics; History; Marketing; Archaeology; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001712958,0.0003448064,0.0001457455,0.001124257,0.0008150078,0.004336772,0.000289594,0.0005866513,0.03656017],"category_scores_gemma":[0.0005526414,0.0001412654,0.000177826,0.005085021,0.001511444,0.003879559,0.001576248,0.0007475509,0.001711465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002037135,"about_ca_system_score_gemma":0.001521317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00765265,"about_ca_topic_score_gemma":0.01102546,"domain_scores_codex":[0.9998028,0.00005323845,0.00001208981,0.00002743148,0.00007492561,0.00002954788],"domain_scores_gemma":[0.9997764,0.0001011833,0.00003201596,0.00001417616,0.00004321262,0.00003289617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001612864,0.00001842475,0.001780107,0.0003377479,0.000009290675,0.0001459281,0.001912614,0.00109661,0.0001313018,0.7907807,0.1277671,0.07600402],"study_design_scores_gemma":[0.000002519149,0.000006017171,0.001464021,0.0003217222,0.000003850226,0.0000825311,0.00198747,0.0001574365,0.00003977758,0.07226878,0.9236614,0.000004504053],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01535055,0.1391699,0.003884847,0.03028708,0.002410766,0.00005791468,0.0007990256,0.0001138079,0.8079261],"genre_scores_gemma":[0.3243262,0.3174274,0.005790327,0.007188449,0.003684809,0.0001384378,0.001607978,0.000147401,0.339689],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03656017,"threshold_uncertainty_score":0.122306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140994599223203,"score_gpt":0.2041423013477508,"score_spread":0.1927323553555188,"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."}}