{"id":"W4285810238","doi":"10.1088/1755-1315/1061/1/012025","title":"Environmental risk and possibilities of ciprofloxacin phytoremediation","year":2022,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phytoremediation; Ciprofloxacin; Wastewater; Aquatic environment; Aquatic plant; Environmental chemistry; Aquatic ecosystem; Antibiotics; Biology; Botany; Environmental science; Environmental engineering; Chemistry; Ecology; Microbiology; Heavy metals; Macrophyte","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004923364,0.0002236199,0.0002055992,0.00005610845,0.00083066,0.00004696812,0.0002783185,0.00003396723,0.00432637],"category_scores_gemma":[0.00002363483,0.0002102638,0.00003727806,0.0001669564,0.004512754,0.0008418661,0.001236028,0.0002367813,0.00003319317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001181556,"about_ca_system_score_gemma":0.00001612756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001430649,"about_ca_topic_score_gemma":0.00001495095,"domain_scores_codex":[0.9977878,0.0000944054,0.0002810921,0.0005915255,0.0007773071,0.000467877],"domain_scores_gemma":[0.9992263,0.00003783813,0.0001594392,0.0002346306,8.534333e-7,0.000340879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006448215,0.0001581099,0.1445165,0.000008357125,0.00000569946,0.000004911334,0.001393587,0.0001399879,0.8176303,0.0001138411,0.00001305323,0.03595116],"study_design_scores_gemma":[0.0004547282,0.0005347299,0.7410679,0.000005499053,0.00002240195,0.0000504247,0.004084541,0.0009169166,0.2497815,0.0006336998,0.002128494,0.0003191919],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976317,0.0001958006,0.00001595385,0.0001073923,0.00009649432,0.0002440064,0.0002498692,0.00001793727,0.001440794],"genre_scores_gemma":[0.9980367,0.0008745416,0.0003685353,0.0001387904,0.00001464062,0.00001145044,0.0000167991,0.0000108526,0.0005277077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5965514,"threshold_uncertainty_score":0.9981964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01410335266721514,"score_gpt":0.2229445814780575,"score_spread":0.2088412288108423,"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."}}