{"id":"W4408793746","doi":"10.1109/icccit62592.2025.10928054","title":"Deep Learning Techniques for Object Detection in Underwater Environments","year":2025,"lang":"en","type":"article","venue":"","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Underwater; Computer science; Object detection; Artificial intelligence; Object (grammar); Deep learning; Computer vision; Pattern recognition (psychology); Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006089685,0.0009060921,0.0005808278,0.0009538351,0.000256085,0.0007445354,0.001079163,0.0009983672,0.001658794],"category_scores_gemma":[0.001732942,0.0004464702,0.0005382695,0.001053596,0.0004468222,0.001300178,0.001181107,0.001484893,0.0008156605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007894273,"about_ca_system_score_gemma":0.0006213031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006120991,"about_ca_topic_score_gemma":0.006460321,"domain_scores_codex":[0.9997088,0.00005159405,0.00001629028,0.00007090842,0.000111122,0.00004123892],"domain_scores_gemma":[0.9996408,0.0001410046,0.00005000117,0.00004844293,0.0001030743,0.00001664734],"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":[0.00007876741,0.00008928232,0.001391177,0.000181483,0.00009924625,0.00009992217,0.00007985643,0.3415123,0.01572857,0.0112354,0.005272915,0.6242311],"study_design_scores_gemma":[0.000002778591,0.00001464772,0.0002703421,0.00001217725,0.000005859092,0.00002031489,0.00001004829,0.9890248,0.002887906,0.006241919,0.001504141,0.000005087041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01009239,0.001370138,0.9853494,0.0003280932,0.00005917237,0.00002745752,0.0001175789,0.001164861,0.001490944],"genre_scores_gemma":[0.4379804,0.003032356,0.5491296,0.0004305533,0.0001347272,0.0001410322,0.0009308101,0.0002191589,0.008001393],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006120991,"threshold_uncertainty_score":0.01217073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661471674289082,"score_gpt":0.2635601971989833,"score_spread":0.2469454804560924,"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."}}