{"id":"W2590095510","doi":"","title":"Computer-Assisted Cartography in the Canadian Hydrographic Service","year":2015,"lang":"en","type":"article","venue":"The International Hydrographic Review","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Hydrographic Service","funders":"","keywords":"Hydrography; Cartography; Geography; Service (business); Hydrographic survey; Oceanography; Geology; Business","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":[0.001900065,0.0006592008,0.0005197813,0.003969714,0.001560105,0.0035605,0.001704162,0.0007383976,0.004671382],"category_scores_gemma":[0.004481138,0.0003851312,0.0003566534,0.01451905,0.001963485,0.001280374,0.0008832811,0.0009167207,0.0006021517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01932516,"about_ca_system_score_gemma":0.05094721,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9733768,"about_ca_topic_score_gemma":0.9823259,"domain_scores_codex":[0.9988366,0.0001347743,0.00003618387,0.00007467368,0.0007806908,0.0001369898],"domain_scores_gemma":[0.9977449,0.0003410013,0.00008043333,0.00006734565,0.001645963,0.0001204021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004487386,0.00002994882,0.007112424,0.0009699535,0.00005021844,0.0001909819,0.0005401978,0.02036235,0.0005582595,0.03682189,0.0712012,0.8621178],"study_design_scores_gemma":[0.00001749171,0.00003005557,0.04444395,0.001590428,0.0000871437,0.000334125,0.001450934,0.03355474,0.001214626,0.01106692,0.906077,0.0001326822],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.06100393,0.6970931,0.05672282,0.03948736,0.004839493,0.0002281433,0.005005072,0.001060415,0.1345597],"genre_scores_gemma":[0.3642524,0.5445412,0.05113774,0.001415883,0.001177773,0.00006893347,0.002332415,0.000260357,0.03481333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02662319,"threshold_uncertainty_score":0.1402145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05908576636301133,"score_gpt":0.3167265788559853,"score_spread":0.2576408124929739,"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."}}