{"id":"W6887915763","doi":"10.17632/zp9bxdbcb6.1","title":"Dataset of the paper: \"Hydrophobic Interactions Drive the Attachment of a Model Nanoplastic on Porous Media Surfaces\"","year":2025,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Porous medium; Porosity; Energy (signal processing); Atomic force microscopy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001407049,0.002577691,0.001938613,0.002801822,0.001132136,0.00211848,0.003333539,0.003451327,0.05868419],"category_scores_gemma":[0.007463299,0.0006356324,0.001787388,0.004519091,0.0005985119,0.0009626669,0.00169804,0.002003554,0.0659658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001367139,"about_ca_system_score_gemma":0.002920413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01771832,"about_ca_topic_score_gemma":0.03183059,"domain_scores_codex":[0.998777,0.0001813764,0.0001464405,0.0003473831,0.000354244,0.0001935908],"domain_scores_gemma":[0.9965547,0.00159187,0.0003272385,0.0005648844,0.0007236698,0.000237489],"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":[0.0002400023,0.00008932024,0.001907903,0.003090911,0.0001293291,0.00006570077,0.0000372377,0.001393272,0.0006555529,0.0007726865,0.9876128,0.00400544],"study_design_scores_gemma":[0.0008374204,0.00008466264,0.009777267,0.0007320502,0.0001798234,0.0001133953,0.00009294826,0.001888831,0.001954029,0.002949109,0.9813177,0.00007273522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003298239,0.000148789,0.00008670337,0.00005836615,0.00003147132,0.00001202895,0.9984431,0.0003457421,0.0005440671],"genre_scores_gemma":[0.0007618657,0.00006950479,0.0003246435,0.00004581214,0.000006522371,0.00006961902,0.9982913,0.00005238302,0.0003783611],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05868419,"threshold_uncertainty_score":0.1963181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05178275467001806,"score_gpt":0.3332515314190341,"score_spread":0.281468776749016,"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."}}