{"id":"W1974523270","doi":"10.1117/12.564924","title":"Design description and field testing of the SHOALS-1000T airborne bathymeter","year":2004,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Shoal; Bathymetry; Hydrography; Remote sensing; Lidar; Field (mathematics); Hydrographic survey; Marine engineering; Computer science; Oceanography; Geography; Geology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004419996,0.000171732,0.0001985582,0.00002924658,0.0001032975,0.00005244126,0.0005040913,0.0001116925,0.000009464336],"category_scores_gemma":[0.0005092851,0.0001232879,0.000213397,0.000304824,0.0002811518,0.0002785578,0.0001833699,0.000196251,0.000001357852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001142551,"about_ca_system_score_gemma":0.00001406922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006471693,"about_ca_topic_score_gemma":3.618545e-7,"domain_scores_codex":[0.9986895,2.094347e-8,0.0004007068,0.0002599627,0.0004323889,0.0002174629],"domain_scores_gemma":[0.9992267,0.0001512891,0.0002537097,0.00006031828,0.0002444016,0.00006359581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002337752,0.00007930422,0.001144316,0.00008649623,0.00007192816,2.118109e-8,0.0003340628,0.001459024,0.9551582,0.03933295,0.0007400707,0.001570267],"study_design_scores_gemma":[0.001025072,0.0004377553,0.01738472,0.0004286998,0.0001825074,0.00003593895,0.0008936693,0.03670973,0.9325674,0.008736422,0.001212784,0.0003853097],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945014,0.00002563015,0.0006600936,0.002183091,0.00008022111,0.0003948031,0.000005418193,0.00003240467,0.002116952],"genre_scores_gemma":[0.7994847,0.0000174435,0.2001993,0.00009852583,0.00007611338,0.00001789946,6.641181e-7,0.00002105621,0.00008427344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1995392,"threshold_uncertainty_score":0.5027533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636634715999926,"score_gpt":0.2133772457001483,"score_spread":0.1970108985401491,"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."}}