{"id":"W2350720334","doi":"","title":"CaIculation and Analysis of Datum at Huanghua Port of China","year":2009,"lang":"en","type":"article","venue":"Wuhan Daxue xuebao. Xinxi kexue ban","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Hydrographic Service","funders":"","keywords":"Geodetic datum; Port (circuit theory); Channel (broadcasting); Geology; Sea level; Geodesy; Computer science; Engineering; Oceanography; Telecommunications; Mechanical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003110257,0.0002688348,0.0002150702,0.001439739,0.000511906,0.0006438866,0.0005363469,0.0002716755,0.001106504],"category_scores_gemma":[0.001424417,0.000172342,0.000257791,0.002047823,0.0002560555,0.0005328237,0.0003274438,0.0002307946,0.0001412701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001438298,"about_ca_system_score_gemma":0.0008586416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07180889,"about_ca_topic_score_gemma":0.07269084,"domain_scores_codex":[0.9997252,0.00003454548,0.00002190102,0.00006401852,0.0001172188,0.00003702498],"domain_scores_gemma":[0.9993991,0.00007958318,0.0000993635,0.00007314297,0.0003131083,0.00003572743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003551045,0.00007662657,0.6679901,0.0003329681,0.0001366436,0.00193016,0.0008525189,0.2249507,0.01525712,0.01041764,0.005052841,0.07264758],"study_design_scores_gemma":[0.00001692134,0.00006423831,0.4311087,0.00002394306,0.00004444089,0.0001734532,0.0005029008,0.5503379,0.009712549,0.001262493,0.006692847,0.00005956248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878138,0.0001018041,0.006849254,0.0001390465,0.00002520685,0.00001911074,0.002045022,0.0001279978,0.00287868],"genre_scores_gemma":[0.9958401,0.00005702148,0.001656304,0.000004638562,0.000004272673,0.00000914674,0.00157741,0.00001111478,0.0008400088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07180889,"threshold_uncertainty_score":0.1427818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008933047987777068,"score_gpt":0.2722461338277278,"score_spread":0.2633130858399508,"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."}}