{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004634691,0.000226702,0.0002674062,0.00002371316,0.00005671483,0.00009853424,0.0001286597,0.0002659072,0.001516596],"category_scores_gemma":[0.000008866923,0.0002150164,0.00004283743,0.000005046244,0.00008726861,0.0000317725,0.0000632563,0.0001626572,0.00002404965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008433555,"about_ca_system_score_gemma":0.00008079962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009193352,"about_ca_topic_score_gemma":0.0002044525,"domain_scores_codex":[0.9993787,0.000001571078,0.000155247,0.0001556958,0.0001106719,0.0001981231],"domain_scores_gemma":[0.9994993,0.00001018031,0.00003562602,0.0003370936,0.00001865527,0.0000991421],"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":[6.338194e-7,0.000001917851,0.0002317857,0.0001859104,0.00004547638,0.0001281332,0.000008425034,0.0000173133,5.105387e-8,0.1029396,0.8815106,0.01493018],"study_design_scores_gemma":[0.00007118939,0.000009571153,0.0006685678,0.00005359365,0.00003342455,0.00004285138,0.000002401034,0.0006984581,4.131156e-7,0.006190413,0.991946,0.0002830742],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000003661897,0.001772151,0.0009353126,0.00002838002,0.0005463843,0.000097401,0.0003838767,0.0002371093,0.9959957],"genre_scores_gemma":[0.001977474,0.001113103,0.0003162463,0.00006122462,0.0004467115,0.000003683289,0.0002912344,0.00003518044,0.9957551],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1104355,"threshold_uncertainty_score":0.9993961,"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."}}