{"id":"W1560203666","doi":"10.24006/jilt.2005.3.1.075","title":"CHINA’S EXTRA- AND INTRA-ASIAN LINER SHIPPING CONNECTIONS, 1990-2000","year":2005,"lang":"en","type":"article","venue":"Journal of International Logistics and Trade","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"China; Strengths and weaknesses; Economy; Economic geography; State (computer science); Business; Function (biology); East Asia; International trade; Geography; Economics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000258704,0.0003064791,0.0001321449,0.002492887,0.0007275032,0.001020214,0.0002710618,0.0001645022,0.001280116],"category_scores_gemma":[0.0007708417,0.0001689207,0.0001335822,0.01017943,0.000488612,0.0007807941,0.0009199471,0.0002201019,0.0001725721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002670008,"about_ca_system_score_gemma":0.001822087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09666125,"about_ca_topic_score_gemma":0.233839,"domain_scores_codex":[0.9997659,0.00001683219,0.00002563221,0.00005406453,0.00007688532,0.00006067541],"domain_scores_gemma":[0.999384,0.0000449022,0.0002850106,0.0000261861,0.0001833278,0.00007650435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002055337,0.00004640127,0.872685,0.0003905488,0.00007481166,0.001473305,0.01609694,0.001222093,0.002687637,0.004363934,0.002940382,0.09781362],"study_design_scores_gemma":[0.000001698,0.00001674495,0.9910113,0.00001726645,0.000009574183,0.00010969,0.001286863,0.0001269725,0.0001957684,0.0000742291,0.00714483,0.000005001344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885718,0.00157027,0.00008114044,0.0001615567,0.000008502565,0.00001302509,0.0007787829,0.000008848414,0.008806108],"genre_scores_gemma":[0.9932087,0.002516787,0.0001145623,0.0000496089,0.00000948553,0.000010239,0.001233918,0.000003578885,0.002853215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09666125,"threshold_uncertainty_score":0.1921973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204159532036569,"score_gpt":0.2251226839768456,"score_spread":0.2130810886564799,"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."}}