{"id":"W2300072496","doi":"","title":"A modified air pycnometer for compost air volume and density determination","year":2003,"lang":"en","type":"article","venue":"","topic":"Composting and Vermicomposting Techniques","field":"Agricultural and Biological Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compost; Gas pycnometer; Bulk density; Volume (thermodynamics); Particle density; Compressed air; Woodchips; Waste management; Materials science; Composite material; Environmental science; Mechanical engineering; Engineering; Soil science; Soil water; Physics; Thermodynamics; Porosity","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":[0.0002245867,0.0001060366,0.0001305755,0.00001211336,0.0002216742,0.0000279743,0.00008482096,0.00006339284,0.00002193693],"category_scores_gemma":[0.0001013202,0.00004320104,0.00005425339,0.00008858187,0.00003793233,0.00006646873,0.00003688706,0.00005116024,0.000003345593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001382701,"about_ca_system_score_gemma":0.000002879351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001059035,"about_ca_topic_score_gemma":0.0002104447,"domain_scores_codex":[0.9993338,0.00004622505,0.0001403603,0.0002328516,0.00007060677,0.000176165],"domain_scores_gemma":[0.9995272,0.0002449583,0.0000512074,0.00004227437,0.00007465372,0.00005971504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001062856,0.0002610987,0.05205136,0.00004035473,0.00001672046,0.000004235771,0.0001261152,0.000007582804,0.7044122,0.005246497,0.002769881,0.2349577],"study_design_scores_gemma":[0.0005778844,0.001254643,0.8732387,0.0000567381,0.00003749526,0.0001002847,0.0001153462,0.009568295,0.06368423,0.01045699,0.04013415,0.0007752621],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963365,0.00001438431,0.0008359852,0.0005914127,0.00004592392,0.0002562845,0.00001129091,0.0002522359,0.001655976],"genre_scores_gemma":[0.9909527,0.000002647634,0.008124857,0.0003213424,0.00003790234,0.00001733164,0.00002319182,9.147694e-7,0.0005190772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8211873,"threshold_uncertainty_score":0.1761687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02938414007090399,"score_gpt":0.2387706437664576,"score_spread":0.2093865036955536,"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."}}