{"id":"W4417152875","doi":"10.1016/j.marpolbul.2025.119078","title":"A decade of ballast water data submitted to the U.S. EPA: A trend toward improved compliance","year":2025,"lang":"en","type":"article","venue":"Marine Pollution Bulletin","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Peter's Hospital","funders":"U.S. Environmental Protection Agency","keywords":"Ballast; Biocide; Sampling (signal processing); Water quality; Water pollution; Environmental monitoring","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":[0.04313498,0.0006283697,0.001031813,0.004899541,0.002364114,0.007344415,0.003720991,0.005082506,0.01169556],"category_scores_gemma":[0.1001033,0.000711128,0.0009278724,0.01060323,0.002240968,0.005676563,0.004152094,0.008827294,0.004794184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006573497,"about_ca_system_score_gemma":0.02055702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05254609,"about_ca_topic_score_gemma":0.04725659,"domain_scores_codex":[0.9322157,0.0130062,0.01021945,0.007423143,0.03471994,0.002415587],"domain_scores_gemma":[0.6760787,0.105693,0.04716415,0.02304162,0.1403756,0.007647017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006549116,0.0004295981,0.1090968,0.002614019,0.000156123,0.0005482109,0.003513584,0.001818325,0.007363428,0.01285259,0.5526052,0.3083471],"study_design_scores_gemma":[0.00006186993,0.0003681474,0.1472383,0.00130528,0.00005212082,0.0005470591,0.004723154,0.003033418,0.006177333,0.005112554,0.8312396,0.0001410884],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1951837,0.0166042,0.02741744,0.5975349,0.01216529,0.001204658,0.03719519,0.005216913,0.1074777],"genre_scores_gemma":[0.5050296,0.01651629,0.02790997,0.2981647,0.007832784,0.001042627,0.05846977,0.002050271,0.08298399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05254609,"threshold_uncertainty_score":0.2281223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02614001864004924,"score_gpt":0.253069901641057,"score_spread":0.2269298830010078,"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."}}