{"id":"W2809007384","doi":"10.3390/ijgi7070240","title":"CHS Priority Planning Tool (CPPT)—A GIS Model for Defining Hydrographic Survey and Charting Priorities","year":2018,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Hydrographic Service","funders":"","keywords":"Geospatial analysis; Hydrography; Hydrographic survey; Task (project management); Geographic information system; Scale (ratio); Computer science; Geography; Environmental resource management; Operations research; Environmental science; Cartography; Engineering; Systems engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009465758,0.0001201872,0.0001630505,0.0003088169,0.0001277193,0.0002203264,0.000187426,0.0000832123,0.0000211852],"category_scores_gemma":[0.0003310373,0.0001232389,0.00007458395,0.00009087106,0.00004418496,0.002370771,0.00003368337,0.0001844696,0.000008022807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007729206,"about_ca_system_score_gemma":0.00004598521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001588414,"about_ca_topic_score_gemma":0.000008158543,"domain_scores_codex":[0.998698,0.00001918034,0.0007013903,0.00005217632,0.0003676011,0.0001616572],"domain_scores_gemma":[0.9986333,0.0001243716,0.0003023992,0.00006379175,0.0008146659,0.00006152848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001631496,0.00008919092,0.1357029,0.0006433532,0.001327817,0.00001053271,0.03213141,0.2090336,0.001361223,0.02091155,0.01005422,0.5871027],"study_design_scores_gemma":[0.001033006,0.00007307403,0.0349711,0.0001441564,0.00001493315,0.00006268318,0.0001764939,0.956767,0.0003955719,0.0009862686,0.005193418,0.0001822631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7205718,0.0001445838,0.2760741,0.0001694101,0.001218228,0.0001597786,0.0001481575,0.00007902725,0.001434971],"genre_scores_gemma":[0.9934908,0.0000633801,0.00594582,0.0001783196,0.0002021782,0.000003973153,0.00009075629,0.00000972058,0.00001502728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7477334,"threshold_uncertainty_score":0.5025535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01428381916808808,"score_gpt":0.2684313991791854,"score_spread":0.2541475800110973,"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."}}