{"id":"W2001929935","doi":"10.2118/2006-111","title":"Gas Adsorption/Diffusion in Bidisperse Coal Particles: Investigation for an Effective Diffusion Coefficient in Coalbeds","year":2006,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Citation; Coal; Diffusion; Mineralogy; Library science; Computer science; Engineering; Chemistry; Thermodynamics; Physics; Waste management","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001450758,0.0001439003,0.0001291939,0.0004078335,0.00004618333,0.00008518445,0.0001581821,0.0000884117,0.00007220032],"category_scores_gemma":[0.00004744893,0.0001549877,0.00003130428,0.0001455268,0.00004810856,0.0002296933,0.00001560392,0.0001186605,0.0000138488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007121088,"about_ca_system_score_gemma":0.0001047298,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06521662,"about_ca_topic_score_gemma":0.6307389,"domain_scores_codex":[0.9990049,0.00003666018,0.0002815526,0.0002327183,0.0001610172,0.0002831429],"domain_scores_gemma":[0.9995587,0.00004272173,0.00003462061,0.0001126566,0.0001008769,0.0001503917],"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":[0.000112343,0.000121486,0.1578648,0.00006040449,0.00001165219,0.00001093072,0.001086193,0.7853707,0.03201187,0.01579658,0.0007991887,0.006753844],"study_design_scores_gemma":[0.0007888897,0.00006358452,0.126288,0.00008708264,0.000003405619,0.000001690531,0.0001830853,0.867988,0.0009566787,0.001018337,0.00245329,0.0001679995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928612,0.00004028004,0.0042259,0.00030151,0.0004025563,0.0003445108,0.00006247515,0.00004874626,0.001712831],"genre_scores_gemma":[0.9991601,0.00002040184,0.00006005264,0.00006979455,0.00009560263,0.0001403011,0.0003255846,0.00002062612,0.0001075712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5655223,"threshold_uncertainty_score":0.9410082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148052582993302,"score_gpt":0.2159966618271805,"score_spread":0.2011914035278503,"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."}}