{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001511884,0.001094279,0.0005882347,0.00367209,0.001065254,0.003240037,0.00193067,0.0007666839,0.01614627],"category_scores_gemma":[0.005682457,0.0006795867,0.001218076,0.003360973,0.0005422852,0.00243726,0.001342131,0.0010258,0.003005181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004849794,"about_ca_system_score_gemma":0.01233872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2343631,"about_ca_topic_score_gemma":0.2624895,"domain_scores_codex":[0.9992465,0.00015504,0.000075228,0.0001147842,0.0003312145,0.00007719339],"domain_scores_gemma":[0.9970548,0.001169506,0.000176883,0.0002535286,0.00114163,0.0002036408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001737431,0.0001540628,0.01266544,0.0005354125,0.0001127085,0.0004647501,0.001087724,0.5474495,0.001294449,0.09707033,0.178122,0.1608698],"study_design_scores_gemma":[0.00008775183,0.00003110617,0.001399423,0.0001287602,0.00002984407,0.00009406231,0.0004849115,0.8072885,0.001506888,0.02225,0.1666235,0.00007525573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01814065,0.0002224092,0.8162395,0.002046755,0.0002435946,0.001590478,0.0653073,0.03403256,0.06217678],"genre_scores_gemma":[0.1237025,0.0005195681,0.8261813,0.0002190838,0.00003482676,0.00137856,0.03631113,0.001712357,0.00994072],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2343631,"threshold_uncertainty_score":0.465998,"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."}}