{"id":"W2471794042","doi":"","title":"Hazardous substances in fjords and coastal waters - 2010. Levels, trends and effects. Long-term monitoring of environmental quality in Norwegian coastal waters","year":2010,"lang":"en","type":"article","venue":"BIBSYS Brage (BIBSYS (Norway))","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; Division of Chemistry; Norsk Institutt for Vannforskning; International Council for the Exploration of the Sea","keywords":"Fjord; Norwegian; Hazardous waste; Environmental science; Oceanography; Term (time); Environmental monitoring; Water quality; Environmental engineering; Geology; Ecology; Waste management; Engineering","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":[0.0005363548,0.0004579768,0.0002259082,0.001354104,0.0002602497,0.0005693069,0.0003221566,0.0002929005,0.0006851905],"category_scores_gemma":[0.0007633723,0.0002361018,0.0004375679,0.0023735,0.0002193736,0.0004120177,0.0004815505,0.0002411427,0.0003244473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002078048,"about_ca_system_score_gemma":0.001329542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2956994,"about_ca_topic_score_gemma":0.3648984,"domain_scores_codex":[0.9996638,0.0000241129,0.00006815371,0.00007588029,0.0001124588,0.00005552135],"domain_scores_gemma":[0.9991715,0.00005279392,0.0003786763,0.00002551044,0.0002645094,0.0001070597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000184288,0.00004273151,0.9808394,0.0002022881,0.00009885046,0.0001910732,0.0004330539,0.0003388037,0.0006008546,0.00005071512,0.002080408,0.0149375],"study_design_scores_gemma":[0.00000202182,0.00002605011,0.9972715,0.0000140836,0.00001446439,0.00003702336,0.0002089684,0.00006096237,0.00006673624,0.000005471461,0.002290247,0.000002385171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9531916,0.004376544,0.0001518725,0.0002140516,0.00009192,0.00002747255,0.0395212,0.00002702185,0.002398283],"genre_scores_gemma":[0.960018,0.00286553,0.0004976218,0.0001401096,0.00005115356,0.00005245245,0.03127046,0.00001045162,0.005094084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2956994,"threshold_uncertainty_score":0.5879565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02592026199739424,"score_gpt":0.2478343890018206,"score_spread":0.2219141270044264,"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."}}