{"id":"W7000255622","doi":"","title":"Evaluating the Risk Posed by Gadolinium in the Grand River Watershed","year":2024,"lang":"en","type":"article","venue":"Scholars Commons (Wilfrid Laurier University)","topic":"Geochemistry and Elemental Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Effluent; Wastewater; Watershed; Bioaccumulation; Gadolinium; Aquatic ecosystem; Daphnia magna; Sewage treatment","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":[0.0001914873,0.0002790315,0.0002479508,0.0004892407,0.0008129575,0.001302518,0.0004693822,0.000529949,0.0005834898],"category_scores_gemma":[0.000472619,0.0001535011,0.0002377196,0.0007584846,0.0004514978,0.0003938487,0.0005755246,0.0002434089,0.00008918105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00569747,"about_ca_system_score_gemma":0.0032577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3639529,"about_ca_topic_score_gemma":0.5303002,"domain_scores_codex":[0.9996743,0.00004126351,0.00001398147,0.00005609942,0.0001505832,0.00006376157],"domain_scores_gemma":[0.9997471,0.0000392227,0.00007520958,0.000008727614,0.00009782731,0.00003188911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005166694,0.0001845118,0.7614294,0.0002789644,0.0001498951,0.003363683,0.002582639,0.00941592,0.1930347,0.00079423,0.0006754751,0.02757378],"study_design_scores_gemma":[0.00002876855,0.0009479427,0.9258765,0.00006943957,0.0001827965,0.0008237141,0.009388576,0.01116019,0.03960576,0.0007787071,0.01106262,0.00007507019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977738,0.00009493477,0.0002267474,0.00007144531,0.000001693511,0.00002294776,0.0001806945,0.00000804928,0.001619813],"genre_scores_gemma":[0.9967059,0.000473365,0.0009720853,0.00004672442,0.000002012351,0.00002474168,0.0002927414,0.000005393101,0.001476967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3639529,"threshold_uncertainty_score":0.7236689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01977615105634703,"score_gpt":0.2329388018414946,"score_spread":0.2131626507851476,"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."}}