{"id":"W2000641785","doi":"10.1016/j.jcis.2006.11.022","title":"Modelling the adsorption of Cd(II), Cu(II), Ni(II), Pb(II), and Zn(II) onto Fithian illite","year":2006,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":171,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Illite; Adsorption; Chemistry; Copper; Zinc; Nuclear chemistry; Mineralogy; Materials science; Metallurgy; Clay minerals; Physical 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001963823,0.0002228492,0.0003420311,0.0001783541,0.001643771,0.0002219722,0.001308449,0.00009376508,0.00001968672],"category_scores_gemma":[0.000141229,0.0001522831,0.00009512445,0.000723002,0.0006908982,0.001277311,0.001242567,0.0003803212,7.985125e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006056042,"about_ca_system_score_gemma":0.0002267806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001345719,"about_ca_topic_score_gemma":0.00002174404,"domain_scores_codex":[0.997715,0.00005377897,0.0006893047,0.0004180366,0.0006894267,0.0004344779],"domain_scores_gemma":[0.9981045,0.00006969075,0.0006683436,0.0003849816,0.0006091924,0.0001633276],"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":[0.00006161968,0.0002146068,0.0006121708,0.00004585827,0.00002216832,0.000002533702,0.008376218,0.05812413,0.9234118,0.005533159,0.002143454,0.001452303],"study_design_scores_gemma":[0.001302408,0.002864469,0.001690106,0.0007705405,0.00004494039,0.0007788208,0.001360332,0.5095041,0.3979293,0.01979802,0.0632842,0.0006728004],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9521629,0.001655092,0.03703174,0.004731562,0.0004637793,0.0001299713,0.000002705548,0.00001931963,0.003802987],"genre_scores_gemma":[0.988236,0.0002544458,0.00666179,0.0001316039,0.0001195038,0.000001903839,2.215857e-7,0.000003255238,0.004591319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5254825,"threshold_uncertainty_score":0.999656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122146452965315,"score_gpt":0.2264316808966169,"score_spread":0.2142170356000854,"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."}}