{"id":"W2128117966","doi":"10.1002/(sici)1097-0290(19960320)49:6<629::aid-bit4>3.0.co;2-q","title":"Metal biosorption equilibria in a ternary system","year":2000,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Ternary operation; Biosorption; Ternary numeral system; Chemistry; Copper; Thermodynamics; Metal; Zinc; Ascophyllum; Metal ions in aqueous solution; Aqueous solution; Binary number; Dissociation (chemistry); Sorption; Binary system; Inorganic chemistry; Adsorption; Physical chemistry; Algae; Physics; Organic chemistry; Mathematics; Botany","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":[],"consensus_categories":[],"category_scores_codex":[0.00007794507,0.00007963411,0.00008264524,0.00005979456,0.00002505444,0.000006836414,0.00009137963,0.0001097861,0.0001757324],"category_scores_gemma":[0.000001320371,0.00007170208,0.00001507467,0.0001961862,0.00006031376,0.00007385705,0.00008803264,0.00008002706,0.0001240609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005336786,"about_ca_system_score_gemma":5.778842e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007475958,"about_ca_topic_score_gemma":0.000008598798,"domain_scores_codex":[0.999491,0.000004981007,0.00009964758,0.000183768,0.0000504287,0.000170144],"domain_scores_gemma":[0.9998504,0.000003297762,0.00001145413,0.000111328,3.519338e-7,0.00002320358],"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":[0.0001093313,0.0001745464,0.04341077,0.000111408,0.00005935736,0.0002126757,0.0001445295,0.002223223,0.7142895,0.008868321,0.0002929122,0.2301034],"study_design_scores_gemma":[0.002808035,0.0006587401,0.2260318,0.0003017121,0.00008046805,0.0003102935,0.0003962269,0.3904761,0.2006417,0.000523096,0.1762822,0.001489636],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976756,0.0002633003,0.0002269566,0.0003424454,0.00005299583,0.0000960084,0.000001201337,0.0001630558,0.001178433],"genre_scores_gemma":[0.9991715,0.0001912637,0.0004519809,0.00001672774,0.000008219258,0.000008801227,0.000001199819,0.00000508511,0.0001452418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5136479,"threshold_uncertainty_score":0.2923926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003203130432914023,"score_gpt":0.1627245017742156,"score_spread":0.1595213713413016,"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."}}