{"id":"W3081135843","doi":"10.1021/acs.est.0c03931","title":"Comment on Predicting Aqueous Adsorption of Organic Compounds onto Biochars, Carbon Nanotubes, Granular Activated Carbons, And Resins with Machine Learning","year":2020,"lang":"en","type":"letter","venue":"Environmental Science & Technology","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Notice; Library science; Environmental chemistry; Adsorption; Aqueous solution; Web of science; Chemistry; Nanotechnology; Political science; Computer science; Materials science; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0003037079,0.0004748726,0.0005593962,0.0004248356,0.0004287269,0.00004719382,0.0007421335,0.000431331,0.0000590097],"category_scores_gemma":[0.00004132905,0.0004081,0.0000626267,0.001056048,0.002914344,0.000127281,0.0007521488,0.001688562,0.00001882267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009883997,"about_ca_system_score_gemma":0.00002249749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001511314,"about_ca_topic_score_gemma":0.00002823467,"domain_scores_codex":[0.9964585,0.0001612266,0.0004315746,0.001178455,0.001119054,0.0006511803],"domain_scores_gemma":[0.9988524,0.00005476342,0.0004073862,0.0005573787,0.000004267506,0.0001238005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003182146,0.00009804029,0.08166529,0.00002406514,0.00004058312,0.00007199104,0.0003318115,0.0001048918,0.9161545,0.000002048371,0.0009768972,0.0004980719],"study_design_scores_gemma":[0.0008386006,0.002202167,0.003229747,0.0002632668,0.0002473748,0.00009455039,0.0005975997,0.001352866,0.9236354,0.0001402517,0.06635258,0.001045575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8731827,0.0001394705,0.00001521953,0.1259728,0.00007868695,0.0002931024,0.00003044757,0.0001782337,0.0001093341],"genre_scores_gemma":[0.9900011,0.0001287484,0.0002451711,0.009238592,0.00009678453,0.00002120296,0.0001022696,0.00005144369,0.000114652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1168184,"threshold_uncertainty_score":0.9998371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007413842878755139,"score_gpt":0.1944248960235536,"score_spread":0.1870110531447985,"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."}}