{"id":"W2107173523","doi":"","title":"Physical Properties of Woodchip: Compost Mixtures used as Biofilter Media","year":2007,"lang":"en","type":"article","venue":"eCommons (Cornell University)","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Compost; Angle of repose; Biofilter; Woodchips; Bulk density; Moisture; Water content; Porosity; Porous medium; Environmental science; Materials science; Pulp and paper industry; Soil science; Waste management; Composite material; Environmental engineering; Geotechnical engineering; Soil water; Geology; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004060274,0.0003512951,0.000233435,0.0004028011,0.0002312087,0.0008449595,0.0001615641,0.000279359,0.001526288],"category_scores_gemma":[0.0008253508,0.0001449497,0.0001732571,0.0003411498,0.0001303913,0.0003129629,0.0002643999,0.0002991086,0.0003589148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002417034,"about_ca_system_score_gemma":0.0002325633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001078181,"about_ca_topic_score_gemma":0.001844381,"domain_scores_codex":[0.9996425,0.00007894665,0.0000416662,0.00004822654,0.0001313949,0.00005712033],"domain_scores_gemma":[0.999571,0.0001819768,0.00006091798,0.00001461386,0.0001141852,0.00005730251],"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":[0.00112462,0.000116545,0.003911655,0.0002919523,0.00004795988,0.00008312655,0.00006903911,0.0002882226,0.9763423,0.00006272436,0.0003297995,0.01733202],"study_design_scores_gemma":[0.00001349711,0.0009903574,0.015688,0.00002773085,0.00008119625,0.000106414,0.0001732373,0.0004994902,0.9784281,0.00004099952,0.003935859,0.00001510109],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887758,0.006020261,0.001361311,0.0001683948,0.0001341703,0.00003327954,0.0004320339,0.00002626945,0.003048545],"genre_scores_gemma":[0.9936563,0.002683858,0.0007690186,0.0000942729,0.00005259532,0.00001706877,0.0003178842,0.00002534736,0.002383565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001526288,"threshold_uncertainty_score":0.005105972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02000995095935645,"score_gpt":0.1724056891859125,"score_spread":0.1523957382265561,"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."}}