{"id":"W331567734","doi":"10.21236/ada417137","title":"Using a Laser Underwater Camera Image Enhancer for Mine Warfare Applications: What is Gained?","year":2002,"lang":"en","type":"report","venue":"","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Underwater; Laser; Enhancer; Image (mathematics); Computer science; Computer vision; Computer graphics (images); Artificial intelligence; Engineering; Geology; Optics; Physics; Oceanography; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004878421,0.0005768419,0.0006001116,0.0002862743,0.0002436254,0.001335272,0.001367916,0.0003498467,0.0008386974],"category_scores_gemma":[0.00002425824,0.0005113704,0.0003008863,0.0004095682,0.00009010079,0.002054986,0.0005230156,0.0002772012,0.0001065727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006245801,"about_ca_system_score_gemma":0.0003684208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002265508,"about_ca_topic_score_gemma":0.0000206708,"domain_scores_codex":[0.996387,0.00003561288,0.0007282212,0.001278798,0.0009069704,0.000663387],"domain_scores_gemma":[0.9963899,0.00008662761,0.0004423111,0.001770502,0.00120218,0.0001084467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006540288,0.000298842,0.000003884828,0.001076246,0.0002164679,0.00002890903,0.0003793729,0.000005693148,0.009154394,0.0002221475,0.7603385,0.228269],"study_design_scores_gemma":[0.000260199,0.00008456082,7.445504e-7,0.0004786253,0.00008307883,0.00005745612,0.00004245343,0.0100838,0.2721161,0.001595019,0.7142101,0.0009878544],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00000750813,0.002743171,0.9696751,0.0009108246,0.0004502159,0.002408474,0.00003605977,0.0007371459,0.02303148],"genre_scores_gemma":[0.0003182647,0.007640559,0.8752613,0.00185164,0.0007240315,0.002564744,0.0001315455,0.0001245961,0.1113833],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2629617,"threshold_uncertainty_score":0.9997338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06997831454547994,"score_gpt":0.3504884706568975,"score_spread":0.2805101561114176,"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."}}