{"id":"W66501031","doi":"","title":"Comparison Of Screening Methods To Refine MSW Compost","year":2005,"lang":"en","type":"article","venue":"Biocycle: Journal of composting and recycling","topic":"Composting and Vermicomposting Techniques","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compost; Environmental science; Computer science; Waste management; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008184594,0.0005735742,0.000353568,0.001388097,0.0003155605,0.0004588972,0.0004684707,0.0004087375,0.001088773],"category_scores_gemma":[0.001239673,0.0003106928,0.0004892671,0.0005434523,0.0002460524,0.0003367365,0.0003343774,0.0003388124,0.0005083188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004113884,"about_ca_system_score_gemma":0.0004653076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002833171,"about_ca_topic_score_gemma":0.008316546,"domain_scores_codex":[0.998987,0.0001802439,0.00005489319,0.0001062451,0.0005874659,0.00008411198],"domain_scores_gemma":[0.9989262,0.0004475189,0.00008543632,0.0001076292,0.0003804321,0.00005272803],"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":[0.0003822722,0.0003332065,0.003165413,0.0001888186,0.00003028618,0.00003617805,0.0000906942,0.0005642885,0.9601132,0.0001158261,0.0001162539,0.03486342],"study_design_scores_gemma":[0.00001776139,0.00124192,0.01077895,0.00001087532,0.00003444264,0.0001270507,0.0001014111,0.002512324,0.9832181,0.00004170936,0.001894774,0.00002060917],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638584,0.001915469,0.02994294,0.0001136614,0.00004930291,0.0003946982,0.0004557257,0.000327264,0.002942569],"genre_scores_gemma":[0.9140171,0.002600798,0.07383675,0.00009986015,0.00001499318,0.0002272188,0.001045422,0.00008302979,0.008074788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002833171,"threshold_uncertainty_score":0.005633414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08409694157094967,"score_gpt":0.4099808925884744,"score_spread":0.3258839510175248,"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."}}