{"id":"W3007952941","doi":"10.1016/j.jtrangeo.2020.102676","title":"Moving beyond land and water: Understanding the development and spatial organization of inland ports","year":2020,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Environmental planning; Land use; Environmental resource management; Geography; Business; Transport engineering; Engineering; Environmental science; Civil 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":[],"consensus_categories":[],"category_scores_codex":[0.0001509456,0.00007653976,0.0001530187,0.00007094053,0.00005129019,0.0000152836,0.00004215425,0.00003410321,0.00002251484],"category_scores_gemma":[0.000004175628,0.00004764902,0.00002583723,0.0000892719,0.00003978764,0.00005960338,0.000006296625,0.0001014899,4.978379e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005341766,"about_ca_system_score_gemma":0.00001083925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001108597,"about_ca_topic_score_gemma":0.00001162604,"domain_scores_codex":[0.9994122,0.000005189852,0.0003178814,0.000050015,0.0001280847,0.00008667226],"domain_scores_gemma":[0.9997796,0.00001451537,0.00006446011,0.00003075437,0.00004063172,0.00006999397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009711217,0.000006627008,0.9940487,0.0001360608,0.00008577121,0.00002829786,0.002220053,0.001486075,0.0002195379,0.00002826466,0.00002251138,0.001708428],"study_design_scores_gemma":[0.0006767568,0.00008678763,0.9920534,0.00007762159,0.0001700298,0.00007593611,0.0005089298,0.0009333631,0.003054336,0.0003845251,0.001791156,0.0001871621],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8962017,0.0003022901,0.1029483,0.0001789863,0.00008045128,0.00004740979,0.000004109204,0.00001072561,0.0002260217],"genre_scores_gemma":[0.9990254,0.0002051584,0.0006699167,0.00003102727,0.00005052771,1.565539e-7,0.000006536815,0.00001057358,6.885602e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1028237,"threshold_uncertainty_score":0.1943071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01052268267313666,"score_gpt":0.1706179670388656,"score_spread":0.1600952843657289,"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."}}