{"id":"W4402078117","doi":"10.21474/ijar01/19226","title":"INFLUENCE OF THE WATER QUALITY OF LAKE TOHO LOCATED IN THE MONO DEPARTMENT, SOUTHWEST BENIN, BY GLYPHOSATE AND METALS (COPPER, ZINC, LEAD, CADMIUM)","year":2024,"lang":"en","type":"article","venue":"International Journal of Advanced Research","topic":"Historical and Environmental Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cadmium; Zinc; Copper; Glyphosate; Water quality; Environmental science; Heavy metals; Lead (geology); Environmental chemistry; Metallurgy; Materials science; Chemistry; Geology; Agronomy; Ecology; Biology","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":[0.00006042003,0.0001594416,0.0001638556,0.0002991856,0.0006437758,0.0004422587,0.0001063222,0.0002220574,0.001022046],"category_scores_gemma":[0.0001708643,0.0001073074,0.00009455706,0.0005174808,0.0003062022,0.0001313355,0.0002786963,0.0001110612,0.00009139346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007320892,"about_ca_system_score_gemma":0.0006859109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06859939,"about_ca_topic_score_gemma":0.1723201,"domain_scores_codex":[0.9999073,0.00002165414,0.000005173929,0.00001652827,0.00001983211,0.00002962188],"domain_scores_gemma":[0.9999014,0.00001622368,0.00002621393,0.000002246637,0.00002743471,0.00002644809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007225857,0.0002583727,0.9360623,0.0001708405,0.0001038546,0.001660103,0.004030717,0.0008403239,0.04505232,0.0002506545,0.0007036345,0.01014424],"study_design_scores_gemma":[0.000008372559,0.0001198467,0.9928321,0.00001020755,0.00002428322,0.0001551822,0.003790134,0.0004699855,0.001463381,0.00005575,0.001062592,0.00000827893],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993377,0.00004124422,0.00001553571,0.00002436633,0.000001849307,0.000002971896,0.00005697644,0.00000119905,0.0005180195],"genre_scores_gemma":[0.9991302,0.00006537362,0.00003014283,0.00001509481,0.000002461839,0.000004274159,0.00008242119,8.399207e-7,0.0006691836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06859939,"threshold_uncertainty_score":0.1364002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06150904353541321,"score_gpt":0.4106776108932489,"score_spread":0.3491685673578357,"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."}}