{"id":"W2055970798","doi":"10.1016/j.eiar.2007.12.002","title":"Incorporating cumulative effects into environmental assessments of mariculture: Limitations and failures of current siting methods","year":2008,"lang":"en","type":"article","venue":"Environmental Impact Assessment Review","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mariculture; Cumulative effects; Environmental impact assessment; Environmental science; Aquaculture; Environmental resource management; Marine ecosystem; Environmental planning; Ecosystem; Environmental protection; Fishery; Fish <Actinopterygii>; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008860904,0.0006786406,0.001145169,0.00009234288,0.0004236207,0.00002214543,0.0003901419,0.0001430969,0.000964956],"category_scores_gemma":[0.00007681859,0.0005697793,0.0004206298,0.0003328878,0.001172477,0.0009820373,0.000849929,0.0004764794,0.00004076453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049709,"about_ca_system_score_gemma":0.00004471187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002198374,"about_ca_topic_score_gemma":0.000007934172,"domain_scores_codex":[0.9954742,0.0008959876,0.001256951,0.0006982111,0.001132153,0.0005424782],"domain_scores_gemma":[0.997289,0.0005083159,0.001309264,0.0004950406,0.000004841668,0.0003935515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002162263,0.001675883,0.7136923,0.000848248,0.0002983436,0.00001822839,0.001415151,0.0001264578,0.1821061,0.00007336798,0.00036802,0.09935626],"study_design_scores_gemma":[0.00101356,0.000808505,0.9879029,0.000919488,0.0003796116,0.00005016444,0.000473361,0.0004847016,0.005838131,0.000458329,0.0009687289,0.0007024856],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795859,0.01344509,0.002999766,0.00008181857,0.0001516701,0.001802649,0.00008562677,0.00003519383,0.00181224],"genre_scores_gemma":[0.9272493,0.02725766,0.04486421,0.0001337381,0.00003497053,0.0001071129,0.0002160816,0.00005497142,0.00008196614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2742107,"threshold_uncertainty_score":0.9999483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04548741292382731,"score_gpt":0.4133662394517072,"score_spread":0.3678788265278799,"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."}}