{"id":"W1990481429","doi":"10.1155/2013/167518","title":"Biosorption of Lead Ions from Aqueous Solution Using<i>Ficus benghalensis</i>L.","year":2013,"lang":"en","type":"article","venue":"Journal of Engineering","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Biosorption; Aqueous solution; Freundlich equation; Adsorption; Sorption; Ficus; Langmuir; Chemistry; Nuclear chemistry; Langmuir adsorption model; Botany; Biology; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0001223668,0.000110945,0.0001809101,0.00009673485,0.00003181647,0.00001648008,0.000126681,0.00007798292,0.001018409],"category_scores_gemma":[0.00004527081,0.0000945404,0.0001344369,0.0001771079,0.0000459934,0.0003566134,0.00004245039,0.0001587783,0.0001200994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000135358,"about_ca_system_score_gemma":0.000009578855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002152422,"about_ca_topic_score_gemma":0.000007172553,"domain_scores_codex":[0.9990098,0.00001725962,0.0004266727,0.00009338601,0.0002922076,0.0001607039],"domain_scores_gemma":[0.999458,0.0000260711,0.0002867925,0.0001051796,0.00003557247,0.00008838814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006794241,0.00004072515,0.0009206287,0.000003846833,0.00001785817,0.000003539883,0.00005848823,0.01746985,0.9782658,0.00001734626,0.0004257464,0.002769336],"study_design_scores_gemma":[0.001742319,0.0004255516,0.1438427,0.0003061601,0.0001902316,0.000711542,0.0002802423,0.5795118,0.2642246,0.0005266098,0.007464365,0.0007738263],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786956,0.00011078,0.02039639,0.0001513474,0.0003912917,0.00006982347,0.000008070806,0.00001768804,0.0001590356],"genre_scores_gemma":[0.9881268,0.00003998405,0.01158129,0.00002743889,0.0001389877,4.843645e-7,0.000001622911,0.00001157846,0.00007187173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7140412,"threshold_uncertainty_score":0.9998948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109863693330527,"score_gpt":0.1969089618173437,"score_spread":0.185922592484291,"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."}}