{"id":"W2039324550","doi":"10.1139/t04-060","title":"Clay mineral characterization through the methylene blue test: comparison with other experimental techniques and applications of the method","year":2004,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Clay minerals and soil interactions","field":"Materials Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marl; Geology; Clay minerals; Geotechnical engineering; Characterization (materials science); Mineralogy; Methylene blue; Expansive clay; Illite; Mining engineering; Materials science; Chemistry; Soil science; Soil water; Geomorphology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002583121,0.0008171114,0.000354344,0.00315201,0.0006631213,0.0004360969,0.001183797,0.0008342484,0.001806191],"category_scores_gemma":[0.003776391,0.0003112084,0.0002692932,0.00155903,0.001118993,0.0006909671,0.0007553498,0.0007319368,0.000538228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005518271,"about_ca_system_score_gemma":0.0007002355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003543466,"about_ca_topic_score_gemma":0.01029372,"domain_scores_codex":[0.9959033,0.001056004,0.0001964191,0.0004566949,0.002237791,0.0001499122],"domain_scores_gemma":[0.9948857,0.002590875,0.0006082927,0.0004351632,0.001330921,0.0001489787],"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":[0.0004247287,0.0002494885,0.007208675,0.0007497804,0.00004842542,0.0001779929,0.0005249316,0.0004402359,0.9420599,0.0005210549,0.0001662661,0.04742856],"study_design_scores_gemma":[0.00002916848,0.001892553,0.02871105,0.00005587095,0.00007592487,0.001330502,0.0004910484,0.003383095,0.956741,0.0003484686,0.006860733,0.00008061576],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6030632,0.02095208,0.356501,0.0005968697,0.0004627149,0.001362898,0.001027062,0.0007398145,0.01529426],"genre_scores_gemma":[0.732545,0.0113655,0.2476542,0.0002210578,0.0001369255,0.000747647,0.0005000877,0.0001243188,0.00670523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003543466,"threshold_uncertainty_score":0.01366097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01910649992056019,"score_gpt":0.304695538318695,"score_spread":0.2855890383981348,"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."}}