{"id":"W6996840137","doi":"","title":"THERMAL PROPERTIES AND SOIL-WATER CHARACTERISTIC CURVES OF COAL FLY ASH AND MINE TAILINGS MIXTURES","year":2011,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Tailings Management and Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tailings; Fly ash; Coal; Coal mining; Thermal; Thermal power station","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001700621,0.0002675818,0.000300782,0.0002268255,0.00009422757,0.0000809141,0.0002701221,0.0001046775,0.00002895595],"category_scores_gemma":[0.00001052828,0.0002206772,0.00004796698,0.00007784669,0.0001984509,0.0009980145,0.0002560164,0.000230031,0.00001782932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001835897,"about_ca_system_score_gemma":0.000008011039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000952319,"about_ca_topic_score_gemma":0.0001619302,"domain_scores_codex":[0.9989937,0.00006059897,0.0002092594,0.0002674471,0.0001554056,0.0003135775],"domain_scores_gemma":[0.9995388,0.00001565195,0.00006084463,0.0002168645,0.00006065661,0.0001072211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001926245,0.00004152196,0.8907302,0.001573904,0.0001647603,0.00006798223,0.003069998,0.00003626141,0.1036121,0.00001129017,0.000001308157,0.000498032],"study_design_scores_gemma":[0.0008153074,0.0002095368,0.7612226,0.000781864,0.0002129568,0.00001536221,0.0003514106,0.00001137526,0.2351644,0.00002967035,0.0006101751,0.0005753975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976097,0.001434984,0.00005420668,0.00004145721,0.0001201211,0.0002151709,0.000008789772,0.0001681796,0.0003473948],"genre_scores_gemma":[0.9972237,0.0004958857,0.00001474496,0.00007149898,0.00003555819,0.000001420375,0.000009206145,0.00003768494,0.002110273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1315523,"threshold_uncertainty_score":0.8998957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0783012136678125,"score_gpt":0.2248380440267844,"score_spread":0.1465368303589719,"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."}}