{"id":"W2558946398","doi":"","title":"Subject: Health and Ecological Risk Associated with Toronto Biosolids Pellets","year":2004,"lang":"en","type":"article","venue":"","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biosolids; Pellets; Environmental science; Environmental health; Ecology; Medicine; Biology; Environmental engineering","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":[0.000302166,0.0002910794,0.0001593036,0.0008328457,0.001401005,0.0009413532,0.0004357651,0.0006161116,0.01163606],"category_scores_gemma":[0.001172166,0.00007444924,0.0001844107,0.000775616,0.0005079621,0.0001716345,0.0004670802,0.0002227958,0.0006098322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005364016,"about_ca_system_score_gemma":0.004716245,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2070234,"about_ca_topic_score_gemma":0.2906085,"domain_scores_codex":[0.9996227,0.00002852975,0.00002632513,0.00002667861,0.0002322818,0.00006351843],"domain_scores_gemma":[0.9989455,0.0002658633,0.0003137746,0.00003466528,0.000292052,0.0001482319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009732771,0.0008403161,0.7150775,0.001224954,0.0001885666,0.004189769,0.002474587,0.005319241,0.07044815,0.004099356,0.03055272,0.1558522],"study_design_scores_gemma":[0.0001054114,0.002423629,0.9209771,0.00015588,0.0001421781,0.00185354,0.004277478,0.001377015,0.03126711,0.0005207529,0.03686175,0.0000381387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985096,0.00161894,0.000184923,0.001181789,0.00007193506,0.00005587549,0.001088264,0.00002233167,0.01067983],"genre_scores_gemma":[0.9773477,0.002690533,0.0002152948,0.0001124819,0.0001228604,0.00002556897,0.0006185047,0.000006723162,0.01886014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7929766,"threshold_uncertainty_score":0.4116368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01531916264194462,"score_gpt":0.2638602331339323,"score_spread":0.2485410704919876,"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."}}