{"id":"W81019038","doi":"","title":"Numerical Modelling of Smouldering Combustion as a Remediation Technology for NAPL Source Zones","year":2009,"lang":"en","type":"article","venue":"AGUSM","topic":"Fire dynamics and safety research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Combustion; Environmental remediation; Multiphase flow; Environmental science; Flux (metallurgy); Front (military); Saturation (graph theory); Meteorology; Mass flux; Mechanics; Contamination; Chemistry; Geography; Mathematics; Physics","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":[0.0002859135,0.0004969664,0.0006212557,0.0004565171,0.000550519,0.0009550351,0.001026104,0.001192847,0.003206927],"category_scores_gemma":[0.0006729127,0.0002705971,0.0004809737,0.0003505497,0.0005736194,0.0005844465,0.000702246,0.0005877337,0.0003820977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103817,"about_ca_system_score_gemma":0.0009048127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01709068,"about_ca_topic_score_gemma":0.008269166,"domain_scores_codex":[0.999897,0.00002130739,0.000006262259,0.00001696136,0.00003885925,0.00001953722],"domain_scores_gemma":[0.9998164,0.00007339212,0.00003228824,0.00001560595,0.00003688255,0.00002554144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002974881,0.00002392218,0.000617667,0.00002999243,0.00000542282,0.00006463449,0.00003179312,0.9899823,0.004186158,0.00255988,0.0001384217,0.002330008],"study_design_scores_gemma":[0.000005718503,0.000008981688,0.0002107979,0.000003020722,0.000001366903,0.000008684844,0.000006991178,0.9985834,0.0005570899,0.0003198082,0.0002903147,0.000003725678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6056669,0.0009852374,0.342985,0.0009257338,0.0001866722,0.000263003,0.001098045,0.001005519,0.04688394],"genre_scores_gemma":[0.972329,0.0002131866,0.02048727,0.00003107984,0.00001849745,0.00008959077,0.0001439623,0.00005422788,0.006633145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01709068,"threshold_uncertainty_score":0.0339824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01607572636615755,"score_gpt":0.24463047644819,"score_spread":0.2285547500820324,"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."}}