{"id":"W4396531854","doi":"10.1117/12.3014304","title":"Overview of ocean bathymetric LiDAR","year":2024,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bathymetry; Lidar; Remote sensing; Oceanography; Geology; Computer science; Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008083042,0.0006074376,0.0004193304,0.003595266,0.0005744724,0.001707251,0.001239061,0.0009537339,0.005623704],"category_scores_gemma":[0.0005427788,0.000540895,0.0004007878,0.004320294,0.0002512148,0.002741219,0.001277849,0.001123469,0.004097786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000655468,"about_ca_system_score_gemma":0.001331258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004058539,"about_ca_topic_score_gemma":0.004136877,"domain_scores_codex":[0.9995202,0.00005270647,0.00004056482,0.00009914693,0.0002378633,0.00004968675],"domain_scores_gemma":[0.9992762,0.00006970239,0.00005067539,0.00003189142,0.0005037071,0.00006788499],"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":[0.00004835478,0.00007024229,0.003454178,0.002424392,0.00003361108,0.0001754309,0.0001039749,0.003997919,0.005524984,0.02309076,0.03260699,0.9284691],"study_design_scores_gemma":[0.000006630406,0.0001092006,0.003121582,0.0009043477,0.00003650927,0.000524339,0.0001472731,0.006445832,0.00173899,0.006352807,0.9805657,0.00004680647],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00971105,0.5659549,0.2678791,0.004893551,0.003849368,0.0006337267,0.002500602,0.002174597,0.1424031],"genre_scores_gemma":[0.08028476,0.5801251,0.2660597,0.002528174,0.003806937,0.0004826274,0.008288213,0.0003792614,0.05804516],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005623704,"threshold_uncertainty_score":0.01881313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02330801163302972,"score_gpt":0.2717383442180898,"score_spread":0.2484303325850601,"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."}}