{"id":"W4295048399","doi":"10.21203/rs.3.rs-1350230/v1","title":"Assessing the Potential Chronic, Lethal, and Multigenerational Ecotoxicity of Land-Applying Biosolids using Zea mays, Glycine max, Phaseolus vulgaris and Brassica rapa","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Toronto Metropolitan University","funders":"Ministry of Education, India; Ministry of Environment; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Phaseolus; Brassica rapa; Ecotoxicity; Glycine; Zea mays; Agronomy; Brassica; Biosolids; Environmental science; Biology; Chemistry; Amino acid; Environmental engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000343346,0.000400553,0.0003011556,0.0003501294,0.000234161,0.0003291097,0.0002793656,0.0003601151,0.0007612293],"category_scores_gemma":[0.0002171182,0.0001109023,0.0002755866,0.0002119417,0.000166105,0.0001851834,0.0002485327,0.0002888327,0.0001285983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004965052,"about_ca_system_score_gemma":0.000224585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003287861,"about_ca_topic_score_gemma":0.00677937,"domain_scores_codex":[0.9998117,0.00004632507,0.00001805341,0.00004218154,0.00005613807,0.000025622],"domain_scores_gemma":[0.9996289,0.00008388867,0.0001203765,0.00003630234,0.00008486052,0.00004571765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001461485,0.00005575372,0.00244183,0.00005857032,0.00002024879,0.0000406124,0.00002708836,0.000201467,0.9954895,0.00001529919,0.00002026645,0.001483077],"study_design_scores_gemma":[0.00001357867,0.00466562,0.04220455,0.00001416119,0.00008123327,0.0001451454,0.0001776175,0.0009130795,0.9500259,0.00004292102,0.001701265,0.00001491639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981725,0.0004417574,0.0006741445,0.00002462403,0.000006815073,0.00003029656,0.0002541102,0.00001813063,0.0003776586],"genre_scores_gemma":[0.9951267,0.0005568921,0.001808853,0.00003108353,0.000003677222,0.0000571875,0.0003921086,0.000008734664,0.002014796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003287861,"threshold_uncertainty_score":0.006537437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07316853370659071,"score_gpt":0.392589472933175,"score_spread":0.3194209392265843,"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."}}