{"id":"W4406932841","doi":"10.1680/jgein.24.00150","title":"Natural weathering effects on white, green, and black HDPE textured GMs","year":2025,"lang":"en","type":"article","venue":"Geosynthetics International","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Weathering; Geosynthetics; Natural (archaeology); High-density polyethylene; White (mutation); Geotechnical engineering; Geomembrane; Geology; Materials science; Composite material; Geochemistry; Polyethylene; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002608291,0.0001395537,0.0001371581,0.000113823,0.0001130224,0.0001799343,0.0002616989,0.00006218434,0.0009219878],"category_scores_gemma":[0.0001765497,0.0001218843,0.00004093494,0.00006582148,0.00009186688,0.00008681302,0.000152817,0.00009173633,0.0002418873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005382525,"about_ca_system_score_gemma":0.00002674747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000252066,"about_ca_topic_score_gemma":0.00003366569,"domain_scores_codex":[0.9989993,0.00005577347,0.0002043819,0.0002835728,0.0002743367,0.0001826613],"domain_scores_gemma":[0.999486,0.0001200038,0.00006510226,0.0001941386,0.00009655355,0.00003816081],"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":[0.0001350061,0.0001258933,0.0008715231,0.0001083373,0.00005405355,0.00001158029,0.0008933324,0.0004165759,0.9159181,0.05476676,0.003706155,0.02299267],"study_design_scores_gemma":[0.003254599,0.0002815933,0.1046963,0.001271114,0.0001647168,0.0000431693,0.0004199877,0.03246044,0.7103714,0.05965797,0.08617069,0.001208086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978164,0.00006639663,0.00053157,0.003372409,0.003462344,0.0001796592,0.00004844161,0.00008558113,0.01408964],"genre_scores_gemma":[0.9933735,0.00001512117,0.0008026707,0.0005010511,0.0002126878,0.00002127379,0.00001464042,0.00001144949,0.005047644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2055467,"threshold_uncertainty_score":0.9999913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007549589146617111,"score_gpt":0.2621091414721841,"score_spread":0.2545595523255669,"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."}}