{"id":"W4383422865","doi":"10.53555/sfs.v10i1.999","title":"Virtualization of the drenched POOMPUHAR Port utilizing bathymetric data processing","year":2023,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bathymetry; Archaeology; Geography; Bathymetric chart; Shore; Geology; Remote sensing; Oceanography; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002794221,0.0002530589,0.0001880287,0.000788077,0.000504037,0.001789308,0.0004875898,0.0001840824,0.003656666],"category_scores_gemma":[0.0008335019,0.0001598988,0.0003136846,0.0009768454,0.0003272906,0.0007955229,0.001452924,0.0003075123,0.00136684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003237956,"about_ca_system_score_gemma":0.001002752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007835537,"about_ca_topic_score_gemma":0.008539989,"domain_scores_codex":[0.9997978,0.00002914178,0.0000136322,0.00002965905,0.0000903801,0.00003949333],"domain_scores_gemma":[0.9997411,0.00003724941,0.000023351,0.00007071298,0.00007156283,0.00005598451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000606348,0.0004406672,0.08177376,0.0003899116,0.00008895504,0.004675565,0.006060835,0.05305121,0.1294749,0.02784475,0.02674807,0.6688452],"study_design_scores_gemma":[0.00007641775,0.0003143618,0.08344243,0.0001172861,0.00007212717,0.001363999,0.006565476,0.6479031,0.103037,0.01008465,0.146836,0.0001871964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5346745,0.0002020446,0.3870105,0.0006201583,0.0002403402,0.0004151604,0.003007121,0.01951033,0.05431978],"genre_scores_gemma":[0.7742984,0.0001649031,0.2144349,0.00004823212,0.0000319693,0.0001121842,0.00270171,0.0004833043,0.007724419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007835537,"threshold_uncertainty_score":0.01557988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3732800716332348,"score_gpt":0.3303894396530021,"score_spread":0.04289063198023274,"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."}}