{"id":"W2482891844","doi":"10.1016/b978-008043865-8/50278-6","title":"Vermicomposting as an Energy Efficient Process for Waste Biomass Conversion","year":2000,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Composting and Vermicomposting Techniques","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Waste management; Biomass (ecology); Environmental science; Population; Earthworm; Ammonia; Mechanical biological treatment; Animal waste; Pulp and paper industry; Waste treatment; Agronomy; Chemistry; Engineering; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002655674,0.0005645734,0.0005582882,0.00005741902,0.0005225589,0.0001085356,0.0006508093,0.0004467245,0.000190979],"category_scores_gemma":[0.00002322639,0.0002733965,0.0002855958,0.00003800574,0.0001247847,0.00004201499,0.0001351059,0.0002643123,0.00003127966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007438742,"about_ca_system_score_gemma":0.00004559712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002347434,"about_ca_topic_score_gemma":0.00003533222,"domain_scores_codex":[0.9977057,0.00004460605,0.0005220997,0.0008705542,0.000364542,0.0004924954],"domain_scores_gemma":[0.9987274,0.0002857158,0.0003642947,0.0001989593,0.0002024094,0.0002211514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001307614,0.00003758448,0.000004414152,0.00006151509,0.00002559681,0.00001370592,0.00005261556,0.000005402652,0.0179459,0.0007825706,0.0000512153,0.9808887],"study_design_scores_gemma":[0.0002944749,0.001189108,0.00001117511,0.001045847,0.0001110422,0.00007148192,0.00003025143,0.001068531,0.02056993,0.01308348,0.961421,0.001103739],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2252587,0.0002400695,0.000001818717,0.00009546939,0.0002504919,0.0006964036,0.000179826,0.0007082113,0.772569],"genre_scores_gemma":[0.5282879,0.00004472958,0.000220709,0.0004909909,0.001393754,0.00009514319,0.0009129727,0.00002936483,0.4685245],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.979785,"threshold_uncertainty_score":0.9999718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02313326881898688,"score_gpt":0.2500783324995692,"score_spread":0.2269450636805823,"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."}}