{"id":"W4256508015","doi":"10.24124/2006/bpgub1320","title":"Necessary assets for an inland port: a case study of the City of Prince George (B.C.)","year":2006,"lang":"en","type":"dissertation","venue":"","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Northern British Columbia","funders":"","keywords":"George (robot); Port (circuit theory); Port authority; Service (business); Container (type theory); Construct (python library); Engineering; Operations research; Management; Business; Telecommunications; History; Computer science; Economics; Art history; Marketing; Terminal (telecommunication)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001055912,0.0003348798,0.0002792253,0.001054485,0.01074454,0.003025871,0.0009345333,0.001627939,0.005782524],"category_scores_gemma":[0.002722785,0.0003423883,0.0002790007,0.002398516,0.00232954,0.001675792,0.00177025,0.002035356,0.0004145943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008676375,"about_ca_system_score_gemma":0.007605408,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2875457,"about_ca_topic_score_gemma":0.6545208,"domain_scores_codex":[0.9992249,0.0003571992,0.00001930365,0.00003479104,0.0001613118,0.000202474],"domain_scores_gemma":[0.9984403,0.0006805754,0.0001575859,0.00006706471,0.000363129,0.0002913347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002087161,0.000784366,0.05395408,0.0009280321,0.00005761626,0.1202975,0.6735645,0.002565159,0.003513815,0.04658135,0.01819038,0.07935446],"study_design_scores_gemma":[0.000007432937,0.0001419971,0.02592769,0.0002327305,0.00002516802,0.003152441,0.8916385,0.0005056656,0.0009575599,0.0005243344,0.07685804,0.00002840605],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667119,0.0004438794,0.0005469607,0.001800044,0.00002189732,0.0001164175,0.0000625992,0.000005700796,0.03029062],"genre_scores_gemma":[0.978379,0.00215331,0.001461983,0.0002949989,0.000007466379,0.00004605457,0.0000673641,0.00001251945,0.01757719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7124543,"threshold_uncertainty_score":0.571744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02085805433206993,"score_gpt":0.2744066746633513,"score_spread":0.2535486203312813,"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."}}