{"id":"W2281832557","doi":"10.14288/1.0095933","title":"An examination of the factors affecting international container traffic","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Container (type theory); Business; Computer science; Transport engineering; 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":[0.0004493814,0.0003104057,0.0001881285,0.001233877,0.0007579831,0.002171224,0.0002270089,0.000234621,0.002811324],"category_scores_gemma":[0.003632812,0.0001260973,0.0001784706,0.00309785,0.0005082955,0.0006384374,0.0003156571,0.0004297688,0.0002718945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002328309,"about_ca_system_score_gemma":0.001598348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1562827,"about_ca_topic_score_gemma":0.3093461,"domain_scores_codex":[0.9994986,0.00012796,0.00001954747,0.00004903195,0.0002191265,0.00008573428],"domain_scores_gemma":[0.9982235,0.0005966516,0.0004266035,0.00003846395,0.0005976271,0.0001171526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009832704,0.00007659441,0.9524044,0.00009002128,0.00003722888,0.0005020404,0.001016283,0.005430423,0.001866711,0.002261435,0.001059632,0.03515691],"study_design_scores_gemma":[0.000001382455,0.0000460086,0.988193,0.00002913413,0.00002217973,0.0002081499,0.003998198,0.002466228,0.0006373119,0.0002828673,0.004100377,0.00001529754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781989,0.0003258477,0.0008950038,0.0001699596,0.00001432191,0.000027614,0.0001798438,0.00001061422,0.02017797],"genre_scores_gemma":[0.9971933,0.0005328046,0.0004884723,0.00001543466,0.00001257095,0.000007017364,0.0001589879,0.000009901336,0.001581556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1562827,"threshold_uncertainty_score":0.310746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005664261125248499,"score_gpt":0.161625367354759,"score_spread":0.1559611062295105,"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."}}