{"id":"W2244014221","doi":"10.1007/978-3-662-04683-8_52","title":"The 3-D Coastline of the New Millennium (Managing Datums in N-Dimension Space)","year":2002,"lang":"en","type":"book-chapter","venue":"International Association of Geodesy symposia","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bedford Institute of Oceanography; Canadian Hydrographic Service","funders":"","keywords":"Geodetic datum; Remote sensing; Shore; Landform; Lidar; Geography; Elevation (ballistics); Global Positioning System; Baseline (sea); Natural hazard; Flooding (psychology); Digital elevation model; Environmental resource management; Environmental science; Geology; Meteorology; Oceanography; Cartography; Computer science; Engineering; Telecommunications","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":[0.0003137728,0.000491515,0.0002272766,0.000961162,0.0005257778,0.002532244,0.0006217687,0.0005022862,0.013197],"category_scores_gemma":[0.0009126155,0.000412521,0.0002763365,0.002350124,0.0004804254,0.002088568,0.0008515919,0.0007272197,0.005210057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008045029,"about_ca_system_score_gemma":0.00124519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0180701,"about_ca_topic_score_gemma":0.02872223,"domain_scores_codex":[0.999887,0.00001305247,0.0000138015,0.00002392005,0.00005333884,0.00000892037],"domain_scores_gemma":[0.9998048,0.0000342294,0.00002333739,0.00003459413,0.00007624697,0.0000268017],"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":[0.00001541335,0.000008532264,0.001153639,0.0002171412,0.000008216282,0.0001425845,0.0003472335,0.003755747,0.001280846,0.07937757,0.2888204,0.6248727],"study_design_scores_gemma":[0.000001681543,0.000005655537,0.001346424,0.000127281,0.000003474464,0.000178999,0.00009111364,0.001653272,0.0003523218,0.01078924,0.9854432,0.00000739439],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008413455,0.04131715,0.3120522,0.008261901,0.005093299,0.0002316228,0.009253905,0.004627138,0.6107494],"genre_scores_gemma":[0.06155872,0.04937306,0.4672771,0.001647562,0.0007590306,0.0002461075,0.01021423,0.002377572,0.4065467],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0180701,"threshold_uncertainty_score":0.04414839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005904617866800364,"score_gpt":0.2044950094415865,"score_spread":0.1985903915747861,"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."}}