{"id":"W2900978568","doi":"10.1002/ieam.5630020401","title":"Sequential analysis of lines of evidence—an advanced weight-of-evidence approach for ecological risk assessment","year":2006,"lang":"en","type":"article","venue":"Integrated Environmental Assessment and Management","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada)","funders":"Western Washington University","keywords":"Stressor; Process (computing); Risk analysis (engineering); Risk assessment; Hazard; Quality (philosophy); Hazard analysis; Environmental resource management; Sediment; Ecology; Environmental science; Psychology; Business; Computer science; Engineering; Biology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3814732,0.00405228,0.01303652,0.03195225,0.002590472,0.01165526,0.008412202,0.007063715,0.007909461],"category_scores_gemma":[0.5951354,0.002956798,0.014559,0.01444398,0.006162374,0.01067337,0.01033659,0.01430463,0.0008928831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008342987,"about_ca_system_score_gemma":0.0145119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003419082,"about_ca_topic_score_gemma":0.004173321,"domain_scores_codex":[0.4615593,0.426102,0.04801913,0.01551574,0.04757871,0.001225146],"domain_scores_gemma":[0.2175094,0.7037811,0.02577011,0.01877451,0.03159405,0.002570753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004453692,0.0006658343,0.01061241,0.08665107,0.06121825,0.001101587,0.002780387,0.06361206,0.001883459,0.2188811,0.01187169,0.5362684],"study_design_scores_gemma":[0.002227498,0.002034422,0.002940339,0.02293522,0.02447163,0.0007491598,0.0004774377,0.1699873,0.001599176,0.7446933,0.0274694,0.0004150609],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006112055,0.02518392,0.9394194,0.006855486,0.001643494,0.01450235,0.001385044,0.0003595723,0.004538595],"genre_scores_gemma":[0.127195,0.008640246,0.839116,0.002144984,0.001093875,0.02009505,0.0007547608,0.00009698296,0.0008632281],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3814732,"threshold_uncertainty_score":0.7627537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05575822883463734,"score_gpt":0.3314928531414187,"score_spread":0.2757346243067814,"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."}}