{"id":"W6940649611","doi":"10.1016/j.oceaneng.2025.122163","title":"A pollution occurrence prediction model based on data-driven approaches for Canadian waters","year":2025,"lang":"en","type":"article","venue":"Ocean Engineering","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pollution; Missing data; Marine pollution; Imputation (statistics); Random forest; Logistic regression; Air pollution; Bayes' theorem","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004890017,0.0007837897,0.0006458132,0.0006783304,0.0008604701,0.0009681111,0.001298513,0.000782832,0.001477112],"category_scores_gemma":[0.001177567,0.0005145646,0.0006278369,0.0007254114,0.0003646426,0.0004108344,0.0004299499,0.0007364163,0.0001638219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007440846,"about_ca_system_score_gemma":0.009671244,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9140202,"about_ca_topic_score_gemma":0.8746403,"domain_scores_codex":[0.9998627,0.00001154927,0.000008534674,0.00005211351,0.00002771597,0.00003723489],"domain_scores_gemma":[0.9995527,0.0001546772,0.00003889331,0.00001158783,0.000202038,0.00004007342],"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":[0.00003467182,0.00002769688,0.002849472,0.00001439314,0.00001992165,0.00002357772,0.000009199032,0.9909436,0.0002427007,0.0003849086,0.0005295773,0.004920399],"study_design_scores_gemma":[0.000003284526,0.000002917219,0.0004253223,0.000001002207,0.000004362025,0.000001324709,0.000003038193,0.9993451,0.000046835,0.00009224044,0.00007189059,0.000002651722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8526407,0.0006320417,0.1299383,0.001446715,0.0001270166,0.0001810485,0.007817852,0.001650934,0.005565376],"genre_scores_gemma":[0.9813075,0.0001573728,0.01413295,0.00006583274,0.00001352829,0.0000662107,0.001868191,0.00002885231,0.002359462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08597976,"threshold_uncertainty_score":0.1729722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03153419852844139,"score_gpt":0.2026086824264138,"score_spread":0.1710744838979724,"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."}}