{"id":"W4313377797","doi":"10.1039/d2va00200k","title":"Application of neural network in metal adsorption using biomaterials (BMs): a review","year":2022,"lang":"en","type":"review","venue":"Environmental Science Advances","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; University of British Columbia","funders":"Simon Fraser University; U.S. Environmental Protection Agency","keywords":"Adsorption; Metal; Materials science; Computer science; Chemistry; Metallurgy; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001291009,0.0004163316,0.001084552,0.000156569,0.0002177807,0.00002115653,0.0008803969,0.00009342545,0.006010583],"category_scores_gemma":[0.00002575896,0.000347586,0.0003062799,0.001709902,0.001235671,0.0008728313,0.0007306645,0.000166125,0.0002027518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001053936,"about_ca_system_score_gemma":0.00004097145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006381978,"about_ca_topic_score_gemma":0.00001402964,"domain_scores_codex":[0.996165,0.0002547976,0.00106309,0.0008894592,0.001086334,0.0005413394],"domain_scores_gemma":[0.9983078,0.00004826637,0.001053491,0.0004588832,0.000001348909,0.0001302662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005151511,0.000122683,0.0002475129,0.001273264,0.000006637536,0.000004066392,0.00001480232,0.001056107,0.010389,0.00001581381,0.00001260483,0.9868523],"study_design_scores_gemma":[0.0001199123,0.00007407634,0.0002325258,0.001582939,0.0001559117,0.0001045507,0.0000262898,0.0007398241,0.0001534451,0.00006009325,0.996245,0.0005053898],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003500025,0.9943258,0.00005782352,0.000008899445,0.0003402384,0.00135326,0.00008993789,0.0000279098,0.0002960621],"genre_scores_gemma":[0.006169165,0.9926971,0.0007223184,0.00007702849,0.0000478666,0.0001196557,0.00009091204,0.00002752746,0.00004845383],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9962325,"threshold_uncertainty_score":0.9998976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03126565912359305,"score_gpt":0.3147977679724642,"score_spread":0.2835321088488711,"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."}}