{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005976235,0.001920201,0.001148567,0.001408314,0.003015609,0.002469105,0.003502521,0.01867618,0.0323596],"category_scores_gemma":[0.06236918,0.0007815158,0.002077369,0.001385082,0.002264986,0.002507851,0.001348886,0.01649627,0.03616531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003603522,"about_ca_system_score_gemma":0.00341727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02141588,"about_ca_topic_score_gemma":0.01177272,"domain_scores_codex":[0.9928584,0.001144708,0.001051773,0.0009385395,0.003462841,0.0005438498],"domain_scores_gemma":[0.9542308,0.01495308,0.002417178,0.002262394,0.02418894,0.001947578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005784488,0.00001336202,0.0001677639,0.00009319852,0.00001244229,0.0001373967,0.00003717505,0.0000536512,0.0002210856,0.0004145956,0.99598,0.002811492],"study_design_scores_gemma":[0.0000820696,0.00007313936,0.001788544,0.0003051393,0.00004633268,0.0002710073,0.0001930013,0.0004150912,0.001493625,0.002318111,0.9929382,0.00007576225],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005882111,0.001035763,0.001136525,0.5566663,0.4314862,0.00009964008,0.001327973,0.0007468312,0.006912456],"genre_scores_gemma":[0.006424593,0.002113332,0.001550915,0.7734124,0.1718531,0.0001952273,0.0006249479,0.0004386023,0.04338688],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0323596,"threshold_uncertainty_score":0.1082537,"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."}}