{"id":"W137380767","doi":"","title":"TENAX AS A MEASURE OF BIOAVAILABILITY AND REMEDIATION SUCCESS ON THE OTTAWA RIVER.","year":2013,"lang":"en","type":"article","venue":"OpenSIUC (Southern Illinois University Carbondale)","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Measure (data warehouse); Tenax; Environmental science; Bioavailability; Environmental remediation; Environmental chemistry; Water resource management; Chemistry; Chromatography; Contamination; Computer science; Medicine; Biology; Data mining; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000435657,0.0004803083,0.0001983407,0.001045894,0.0005368464,0.0008882564,0.0005522867,0.0003008136,0.00131146],"category_scores_gemma":[0.0006638441,0.0001724949,0.0003463482,0.001066703,0.0005158911,0.0004660426,0.0004425613,0.000328819,0.0002692408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007193907,"about_ca_system_score_gemma":0.002177548,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.573576,"about_ca_topic_score_gemma":0.7353015,"domain_scores_codex":[0.9997396,0.00003221109,0.00001684382,0.00006679023,0.0001173806,0.00002719755],"domain_scores_gemma":[0.9995238,0.00006830409,0.0001476594,0.0000288855,0.0001898916,0.00004155895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005197159,0.0001520828,0.8034836,0.0006211418,0.0004454435,0.0004081812,0.001155551,0.08952772,0.03957149,0.00390742,0.006197111,0.05401056],"study_design_scores_gemma":[0.000009944574,0.0004650614,0.9179586,0.00004881084,0.0001645036,0.0001865653,0.001664291,0.0522198,0.01402174,0.001327369,0.01184686,0.0000865024],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9661747,0.002285202,0.00888423,0.0003986761,0.00003952532,0.0001031644,0.008511812,0.000275249,0.01332747],"genre_scores_gemma":[0.9867315,0.0006634776,0.002409143,0.00002404299,0.00000242701,0.00002570855,0.001403063,0.00001098747,0.008729658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.426424,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006648320921775332,"score_gpt":0.1669531030674902,"score_spread":0.1603047821457148,"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."}}