{"id":"W2605952747","doi":"10.1080/14634988.2017.1316658","title":"Environmental monitoring to guide and assess the effectiveness of Randle Reef sediment remediation on the recovery of Hamilton Harbour","year":2017,"lang":"en","type":"article","venue":"Aquatic Ecosystem Health & Management","topic":"Mining and Resource Management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Environmental remediation; Harbour; Environmental science; Reef; Sediment; Remedial action; Environmental impact assessment; Environmental engineering; Contamination; Oceanography; Geology; Ecology","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":[0.001344184,0.000308696,0.0001661091,0.001521671,0.0007823567,0.0006178651,0.0007508977,0.0002938442,0.001317936],"category_scores_gemma":[0.001733298,0.0001482521,0.0001386154,0.0009587594,0.0003153262,0.0004529469,0.0007267005,0.0003066372,0.0003003411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002371871,"about_ca_system_score_gemma":0.006350637,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.220001,"about_ca_topic_score_gemma":0.5379694,"domain_scores_codex":[0.9988293,0.0002249714,0.00007973132,0.00009417251,0.0006388968,0.0001328131],"domain_scores_gemma":[0.9975531,0.0002166612,0.0005997796,0.0001380395,0.001287232,0.0002052103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002898507,0.0002948976,0.4176131,0.0005499303,0.0001108411,0.0005536259,0.002081176,0.005528728,0.03674766,0.001224761,0.02779379,0.5072116],"study_design_scores_gemma":[0.00003617881,0.0007718437,0.8658444,0.0003074956,0.00006120486,0.0001155631,0.002731785,0.00400912,0.01992292,0.0002856457,0.1058601,0.00005369294],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8280814,0.003301544,0.02440072,0.003432729,0.0001030329,0.00445255,0.00737301,0.00117409,0.1276809],"genre_scores_gemma":[0.9144562,0.003252041,0.05120194,0.0005846117,0.00004599406,0.0008700917,0.002895837,0.00007555383,0.02661756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.779999,"threshold_uncertainty_score":0.4374409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01805149895256497,"score_gpt":0.2506801712269,"score_spread":0.232628672274335,"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."}}