{"id":"W2112272106","doi":"10.3390/challe5010138","title":"Changes in Acid Herbicide Concentrations in Urban Streams after a Cosmetic Pesticides Ban","year":2014,"lang":"en","type":"article","venue":"Challenges","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Ministry of the Environment, Conservation and Parks","funders":"","keywords":"Mecoprop; Pesticide; Dicamba; STREAMS; Urban stream; Environmental chemistry; Environmental science; Population; Chemistry; Agronomy; Biology; Environmental health","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":[0.0002577982,0.0002484145,0.0003017751,0.00006864502,0.00006794962,0.00001965492,0.0002032879,0.00009440006,0.002021778],"category_scores_gemma":[0.00008108098,0.0002334778,0.00003951226,0.0001576411,0.0003077467,0.0001502486,0.0001879248,0.0001909258,0.0003929751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002486503,"about_ca_system_score_gemma":0.000004450432,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004846752,"about_ca_topic_score_gemma":0.05620949,"domain_scores_codex":[0.9983812,0.0001168375,0.0002646944,0.0004724243,0.0002550351,0.0005098],"domain_scores_gemma":[0.9994119,0.0001420922,0.00006029724,0.0002704622,0.000002615157,0.0001126167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003845274,0.0002893432,0.9531289,0.00003365623,0.00001089773,0.0000578635,0.004716383,0.0003905898,0.005452476,0.0004862369,0.0001849355,0.03521029],"study_design_scores_gemma":[0.0004819166,0.0001610096,0.9900474,0.00008921394,0.00001272084,0.000004265938,0.001076377,0.0003364038,0.001999137,0.001511786,0.003987786,0.0002919764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761909,0.004145253,0.00003829069,0.00334594,0.00008109186,0.0002784409,0.000004919373,0.00004151916,0.01587366],"genre_scores_gemma":[0.9971847,0.001680655,0.000280591,0.0004199581,0.00007372243,0.0002028286,0.000004730562,0.00002244957,0.0001303766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05572481,"threshold_uncertainty_score":0.9988905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01678607829418732,"score_gpt":0.2251872748912669,"score_spread":0.2084011965970796,"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."}}