{"id":"W2959592954","doi":"10.1016/j.marpolbul.2019.06.068","title":"Ecological risk assessment of metals in small craft harbour sediments in Nova Scotia, Canada","year":2019,"lang":"en","type":"article","venue":"Marine Pollution Bulletin","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Sediment; Nova scotia; Environmental science; Pollution; Contamination; Cadmium; Harbour; Hazard quotient; Environmental chemistry; Ecology; Oceanography; Geology; Chemistry; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003503987,0.0003925412,0.0003050737,0.00206648,0.00191583,0.001112151,0.0006849673,0.000329504,0.0008735508],"category_scores_gemma":[0.0009142917,0.0002928483,0.0004152386,0.002252037,0.0005779603,0.000182578,0.0008235031,0.0003423289,0.0001341098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02271656,"about_ca_system_score_gemma":0.02283465,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9967121,"about_ca_topic_score_gemma":0.9987919,"domain_scores_codex":[0.9996605,0.0000378407,0.00002761213,0.0000382197,0.0001321723,0.0001035977],"domain_scores_gemma":[0.999052,0.00005525924,0.000145086,0.00001868069,0.000562572,0.0001664354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000227087,0.00004559107,0.9832649,0.00007966845,0.0001019192,0.0005627838,0.0008099632,0.003174936,0.00131053,0.0001986192,0.001136144,0.00908786],"study_design_scores_gemma":[0.00001262837,0.00003505024,0.9948302,0.00003391559,0.00002985643,0.00007365925,0.001764564,0.001736199,0.0002087692,0.00003699982,0.001229857,0.000008373439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950475,0.0002874842,0.0001752987,0.0001785323,0.000007839897,0.00006651082,0.001583073,0.00001065776,0.002643227],"genre_scores_gemma":[0.9958372,0.0002307191,0.0003008363,0.00004389343,0.000001954891,0.0000138349,0.0005212911,0.00000315125,0.003047267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02271656,"threshold_uncertainty_score":0.164821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008612283449986722,"score_gpt":0.2245529051795107,"score_spread":0.215940621729524,"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."}}