{"id":"W4388630848","doi":"10.4324/9781032660547-93","title":"PSA Corporation managed the growth of Singapore's port to become a global hub","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Socioeconomic Development in Asia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporation; Port (circuit theory); Business; Engineering; Finance; Mechanical 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":[0.0003666397,0.0006304675,0.000212482,0.0005989633,0.001486237,0.00539291,0.0004126036,0.001347122,0.05274918],"category_scores_gemma":[0.0004734441,0.000221057,0.0002417105,0.0009609497,0.0006873924,0.003104281,0.001757753,0.002611607,0.02159906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00281858,"about_ca_system_score_gemma":0.004479907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007488133,"about_ca_topic_score_gemma":0.02080646,"domain_scores_codex":[0.9997919,0.0000221725,0.000009044653,0.00002694059,0.0001224033,0.00002751024],"domain_scores_gemma":[0.9996674,0.00002899874,0.00001954701,0.00001836578,0.0001343688,0.0001312402],"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":[0.0000119933,0.00002244002,0.0004234245,0.0001624761,0.000002960887,0.0003523986,0.0007224859,0.0002893067,0.0008550116,0.105401,0.799524,0.09223243],"study_design_scores_gemma":[0.000001241712,0.000006818116,0.0001965412,0.00005556154,0.000001012754,0.000125072,0.0001371004,0.0001049613,0.0002183867,0.001312934,0.9978377,0.000002679962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003492619,0.006916016,0.001443895,0.01006559,0.003283212,0.00005610439,0.0002743594,0.0002853373,0.9741829],"genre_scores_gemma":[0.008649304,0.004205472,0.0007726645,0.0005172483,0.0002837011,0.00001655822,0.0001376943,0.0001206341,0.9852968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05274918,"threshold_uncertainty_score":0.1764635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04678627228562441,"score_gpt":0.2966888230793871,"score_spread":0.2499025507937627,"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."}}