{"id":"W4409870166","doi":"10.3389/feart.2025.1526129","title":"Dynamic display algorithm of sonar data based on grayscale distribution model and computational intelligence","year":2025,"lang":"en","type":"article","venue":"Frontiers in Earth Science","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Computer Modelling Group","keywords":"Grayscale; Computer science; Sonar; Artificial intelligence; Algorithm; Scale (ratio); Computer vision; Computer graphics (images); Image (mathematics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004664383,0.00007822645,0.0001194589,0.0001611167,0.0001442569,0.00004385772,0.0003486502,0.00003111855,0.000005310751],"category_scores_gemma":[0.00006869275,0.0000644794,0.00001262522,0.0006170173,0.0005286022,0.000222794,0.00002701033,0.00009491735,0.00000178165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000679055,"about_ca_system_score_gemma":0.0002391428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001946165,"about_ca_topic_score_gemma":0.0003188771,"domain_scores_codex":[0.9989729,0.00002767655,0.0001625279,0.0003533585,0.0002892675,0.0001942544],"domain_scores_gemma":[0.9995344,0.00008375941,0.00004375592,0.0002439834,0.00003526908,0.00005886183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001571279,0.00001324134,0.04657272,0.00000863852,0.000001178663,0.000001496784,0.00002758941,0.6085812,0.000002217462,0.00004406175,0.0001668047,0.3445651],"study_design_scores_gemma":[0.00008198068,0.00002536216,0.2138391,0.00004862564,0.000002635729,7.989115e-7,0.00003884047,0.7836459,0.00001647973,0.002149261,0.00009614679,0.00005489212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1129493,0.0001707519,0.8853179,0.000167056,0.0003247683,0.00008988781,0.0004495543,0.0000116551,0.00051912],"genre_scores_gemma":[0.8255303,0.00003963802,0.1740438,0.00006673636,0.00000304648,5.494492e-8,0.0002696404,7.318042e-7,0.00004604971],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.712581,"threshold_uncertainty_score":0.2629393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088881781598183,"score_gpt":0.2406122224442061,"score_spread":0.2297234046282243,"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."}}