{"id":"W2977675662","doi":"10.1002/clen.201900101","title":"Development and Characterization of Lignin‐Based Hydrogel for Use in Agricultural Soils: Preliminary Evidence","year":2019,"lang":"en","type":"article","venue":"CLEAN - Soil Air Water","topic":"Polymer-Based Agricultural Enhancements","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Ferdowsi University of Mashhad","keywords":"Self-healing hydrogels; Lignin; Distilled water; Soil water; Water retention; Chemistry; Superabsorbent polymer; Swelling; Biodegradation; Polymer; Chemical engineering; Pulp and paper industry; Organic chemistry; Environmental science; Chromatography","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":[],"consensus_categories":[],"category_scores_codex":[0.00007645434,0.000169781,0.0001819425,0.00005787062,0.00002386503,0.00001779499,0.00009210791,0.00007037576,0.0000108558],"category_scores_gemma":[0.000007030619,0.0001069899,0.0000342714,0.00007427486,0.00001636216,0.0004561465,0.00003518862,0.0000561334,0.00003093173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007887553,"about_ca_system_score_gemma":0.00001124783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009921455,"about_ca_topic_score_gemma":0.00002401541,"domain_scores_codex":[0.9991179,0.00001082554,0.0002899474,0.0001974655,0.0001182339,0.0002657042],"domain_scores_gemma":[0.9997226,0.00003636415,0.00003813933,0.0001080142,0.00003515208,0.00005973723],"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":[0.00005455832,0.00003925403,0.003058624,0.000320761,0.00002064091,0.000001310879,0.0006086393,0.002217863,0.9898142,0.00000310072,0.0001168327,0.00374419],"study_design_scores_gemma":[0.0004426994,0.00007505191,0.1153905,0.0003388314,0.000006973773,0.000001109628,0.00005723295,0.006258312,0.8770305,0.00000194609,0.0002051948,0.0001916609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992073,0.00003226113,0.00005409732,0.00003954618,0.0001320716,0.0004119008,0.000009031225,0.00007211246,0.00004168927],"genre_scores_gemma":[0.9988141,0.000009070732,0.0005020939,0.00005780018,0.00002686142,0.00007748866,0.0001677707,0.00001786787,0.0003269636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1127838,"threshold_uncertainty_score":0.436292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834470563901436,"score_gpt":0.2039828655446922,"score_spread":0.1856381599056779,"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."}}