{"id":"W4381611854","doi":"10.32920/23560914","title":"Assessing Lead Contamination in Buffalo River Sediments","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Dredging; Kriging; Sediment; Environmental science; Contamination; Pollution; Hydrology (agriculture); Watershed; Geology; Oceanography; Geomorphology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004283853,0.000154443,0.0001948109,0.00005619275,0.00008312343,0.00008072278,0.0002050596,0.000159498,0.0003046602],"category_scores_gemma":[0.00002594419,0.0001282676,0.00005150136,0.0001011038,0.0001814035,0.0001485195,0.001605958,0.0002903106,0.001193781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002868521,"about_ca_system_score_gemma":0.000005278646,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008928437,"about_ca_topic_score_gemma":0.00161512,"domain_scores_codex":[0.9987112,0.0001034183,0.0002424369,0.0003986173,0.0003234433,0.0002208306],"domain_scores_gemma":[0.9996445,0.00005527477,0.00008470963,0.0001827621,0.000004132276,0.00002864777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001111108,0.0002686299,0.9348574,0.0002093693,0.00008249908,0.00007732421,0.01936141,0.01417781,0.001043427,0.00008814231,0.01254815,0.01727472],"study_design_scores_gemma":[0.0002533357,0.00001120148,0.9889119,0.0001228936,0.00001317777,5.040618e-7,0.001294018,0.002218377,0.0006677911,0.003422202,0.002809287,0.0002753739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653292,0.00003375637,0.0007316507,0.0009092065,0.0004723788,0.0002498994,0.000004527169,0.0001060554,0.03216332],"genre_scores_gemma":[0.9842113,0.00004456852,0.0007143365,0.0001527286,0.00004404182,0.00002925703,0.00003129604,0.00001417686,0.01475831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05405443,"threshold_uncertainty_score":0.9995839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.133111524148384,"score_gpt":0.3151959983910064,"score_spread":0.1820844742426224,"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."}}