{"id":"W2012349162","doi":"10.1016/j.jmarsys.2003.10.003","title":"Trends in heavy metal concentrations in the Western and Central Baltic Sea waters detected by using empirical orthogonal functions analysis","year":2004,"lang":"en","type":"article","venue":"Journal of Marine Systems","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Cadmium; Baltic sea; Empirical orthogonal functions; Copper; Environmental science; Particulates; Environmental chemistry; North sea; Metal; Zinc; Oceanography; Seawater; Chemistry; Climatology; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002865581,0.0002103676,0.0002079057,0.0008047777,0.0003178759,0.0005646822,0.0002347845,0.0002548752,0.0003161721],"category_scores_gemma":[0.0005158214,0.0001863213,0.0001679188,0.001342964,0.000317952,0.0003555928,0.0003386337,0.0002237383,0.00008347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004517981,"about_ca_system_score_gemma":0.0004665291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0511698,"about_ca_topic_score_gemma":0.08799972,"domain_scores_codex":[0.9998583,0.00002787197,0.00001765443,0.00003946692,0.00003214395,0.0000245539],"domain_scores_gemma":[0.9996216,0.00005401756,0.0001166286,0.00001863959,0.0001592597,0.00002982789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004292007,0.00006139196,0.9611415,0.00002873577,0.0001014335,0.0001175661,0.0008154374,0.000929701,0.01939342,0.0001034363,0.0001472467,0.01673103],"study_design_scores_gemma":[0.000006618626,0.00005886995,0.9969732,0.000004749633,0.00002605628,0.00004751964,0.0004891881,0.001071586,0.0008860249,0.00003142291,0.0003996988,0.000005067215],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994683,0.00004478568,0.0000965951,0.00001035697,0.000001962509,0.000001340475,0.00006935299,0.000003674365,0.0003036844],"genre_scores_gemma":[0.9988735,0.00005979478,0.0003654809,0.000009119837,0.000002434949,0.000004887469,0.0002141615,0.000001852677,0.0004688553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0511698,"threshold_uncertainty_score":0.1017439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0228811601378009,"score_gpt":0.2710208630065484,"score_spread":0.2481397028687475,"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."}}