{"id":"W2031091292","doi":"10.1080/20028091057538","title":"A Decision Making Framework for Sediment Assessment Developed for the Great Lakes","year":2002,"lang":"en","type":"article","venue":"Human and Ecological Risk Assessment An International Journal","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Environment and Climate Change Canada","funders":"","keywords":"Sediment; Environmental science; Invertebrate; Environmental resource management; Risk analysis (engineering); Ecology; Geology; Business","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009985863,0.0001959483,0.0001998245,0.00005130075,0.001664765,0.0002854618,0.0005388719,0.0001888018,0.01364396],"category_scores_gemma":[0.0001384701,0.000128975,0.0001183313,0.00004754856,0.0002614739,0.0003472874,0.0002561943,0.0004637842,0.00003152712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004661791,"about_ca_system_score_gemma":0.000008840228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001845228,"about_ca_topic_score_gemma":0.0001019955,"domain_scores_codex":[0.9983713,0.0001197685,0.0004119217,0.0003743341,0.0003467251,0.0003759736],"domain_scores_gemma":[0.998183,0.001230723,0.0002904483,0.000138156,0.00002145281,0.0001362371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003194417,0.002175254,0.7420833,0.000007095766,0.0004709665,0.00005684236,0.000462067,0.004267867,0.001460288,0.02437549,0.01884934,0.2054721],"study_design_scores_gemma":[0.001551918,0.001507686,0.8219581,0.00002208463,0.00008164899,0.00009847911,0.0002413794,0.02722057,0.00002424017,0.09983001,0.04718845,0.0002754292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8503255,0.00004456238,0.1432706,0.001700696,0.001286116,0.0008527201,0.00004581039,0.00003052086,0.0024435],"genre_scores_gemma":[0.8753595,0.0004279986,0.1216506,0.001411241,0.0003895436,0.0002552385,0.00001364441,0.00001440193,0.0004778095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2051967,"threshold_uncertainty_score":0.9996349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0570543668536208,"score_gpt":0.3756417684573554,"score_spread":0.3185874016037346,"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."}}