{"id":"W4238248834","doi":"10.32920/ryerson.14661999","title":"Natural zeolite removal capacity of heavy metallic ions","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Sorption; Sorbent; Clinoptilolite; Zeolite; Wastewater; Effluent; Industrial wastewater treatment; Adsorption; Pollutant; Environmental science; Ion exchange; Waste management; Chemistry; Environmental engineering; Engineering; Catalysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000115398,0.0002704851,0.0002014451,0.0003418023,0.0001235207,0.0002445735,0.0001439891,0.0002058835,0.0008544734],"category_scores_gemma":[0.0001730408,0.0001078195,0.0003192082,0.0001953146,0.0001339643,0.000220108,0.000263829,0.000215823,0.0001995972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002388355,"about_ca_system_score_gemma":0.0002488201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002055511,"about_ca_topic_score_gemma":0.003655789,"domain_scores_codex":[0.9998512,0.0000150923,0.00001773561,0.00002650014,0.00004874567,0.00004068455],"domain_scores_gemma":[0.9999326,0.00001179674,0.00001589691,0.000006405987,0.00002225352,0.00001105069],"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":[0.00008608179,0.00001905395,0.0006999592,0.0001211652,0.000009667058,0.00003775876,0.00001746951,0.0001573801,0.9967977,0.00005283345,0.00004329757,0.001957751],"study_design_scores_gemma":[0.00001689467,0.0003427929,0.009934335,0.00001435178,0.00002444303,0.0001273124,0.00007088849,0.001349472,0.9846898,0.00004403935,0.003373997,0.00001167186],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968988,0.0008303825,0.0008156995,0.00002710734,0.000009455937,0.00001805476,0.0002710807,0.00003501165,0.001094384],"genre_scores_gemma":[0.9969293,0.000553281,0.000668784,0.00001937167,0.000003122645,0.00001994918,0.0003060473,0.000009203971,0.001490868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002055511,"threshold_uncertainty_score":0.00408715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03759366118349697,"score_gpt":0.2632442182902366,"score_spread":0.2256505571067396,"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."}}