{"id":"W2981775638","doi":"10.4095/305941","title":"Using topo-bathymetric LiDAR to map near shore benthic environments","year":2017,"lang":"en","type":"report","venue":"","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bathymetry; Benthic zone; Shore; Lidar; Benthic habitat; Oceanography; Geology; Remote sensing","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":[0.000196928,0.0002186363,0.0001755302,0.001000608,0.0001933304,0.0004264818,0.000299945,0.0001901211,0.0006448206],"category_scores_gemma":[0.0003329786,0.000122496,0.0001709808,0.0009437326,0.00006160623,0.0003959285,0.0003181976,0.0001595628,0.0003231535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000211257,"about_ca_system_score_gemma":0.0003355259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01545407,"about_ca_topic_score_gemma":0.03932618,"domain_scores_codex":[0.9998686,0.00001846497,0.000004400269,0.00002507294,0.00006280362,0.0000205915],"domain_scores_gemma":[0.9998639,0.00002009786,0.00001398823,0.000009941573,0.00007697539,0.00001512272],"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":[0.0001369525,0.0001917006,0.1198988,0.0001960253,0.00009212414,0.0004272226,0.0004394582,0.03198661,0.2466101,0.0005110918,0.002250364,0.5972595],"study_design_scores_gemma":[0.00005261141,0.0003659178,0.2874043,0.0001028486,0.0001209911,0.0005049127,0.001310417,0.6460031,0.05502477,0.001033604,0.007966724,0.0001097783],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.907609,0.0003130563,0.08393832,0.0001057956,0.00003047621,0.0001254573,0.001277208,0.001138482,0.005462146],"genre_scores_gemma":[0.8455678,0.0002274737,0.1514084,0.00005005075,0.00001121849,0.00003882845,0.001345353,0.00002921028,0.001321749],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01545407,"threshold_uncertainty_score":0.03072822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05905753411298705,"score_gpt":0.3185073624062369,"score_spread":0.2594498282932499,"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."}}