{"id":"W2003119707","doi":"10.1016/s0960-8524(00)00169-3","title":"Growth substrates made from duck excreta enriched wood shavings and source-separated municipal solid waste compost and separates: physical and chemical characteristics","year":2001,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Composting and Vermicomposting Techniques","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; Université du Québec à Montréal","funders":"","keywords":"Compost; Municipal solid waste; Green waste; Loam; Porosity; Chemistry; Substrate (aquarium); Nutrient; Peat; Bulk density; Aeration; Pulp and paper industry; Waste management; Soil water; Environmental science; Soil science","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":[],"consensus_categories":[],"category_scores_codex":[0.0001216064,0.0003604651,0.0005202005,0.00006279549,0.0002657365,0.0001301672,0.0003456933,0.0003905254,0.00001550112],"category_scores_gemma":[0.000119852,0.0001929153,0.00005592699,0.0003856402,0.0006818463,0.00006463485,0.0005134484,0.0004070037,0.000006061404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000177392,"about_ca_system_score_gemma":0.000004838546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005004731,"about_ca_topic_score_gemma":0.00003595367,"domain_scores_codex":[0.9983312,0.00006162211,0.0003206062,0.0006685844,0.0001340788,0.0004839418],"domain_scores_gemma":[0.9991027,0.000349845,0.0001727596,0.0001400584,0.00006779901,0.0001668923],"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":[0.00009195348,0.0001072412,0.06891814,0.00000857818,0.0000288965,0.0000204143,0.0003727341,1.172646e-7,0.9201575,0.0001031762,0.00005111595,0.01014015],"study_design_scores_gemma":[0.002703443,0.003645507,0.5184928,0.0005432663,0.0004674981,0.001522106,0.004703456,0.02651067,0.4139608,0.01364181,0.01021641,0.003592186],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971479,0.0005368073,0.000002925373,0.001171699,0.00001956679,0.0002029794,0.00005639109,0.0007945242,0.00006716361],"genre_scores_gemma":[0.9990996,0.0001621908,0.0002644184,0.00009391697,0.0001819717,0.00001595039,0.0001170551,0.000006786129,0.00005817829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5061966,"threshold_uncertainty_score":0.7866856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01461701754948868,"score_gpt":0.2369715485318666,"score_spread":0.2223545309823779,"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."}}