{"id":"W2586618286","doi":"10.21273/hortsci.40.4.1048d","title":"(100) Use of Raw and Composted Paper Mill Sludges, Municipal Waste Composts, and Other Waste Ingredients in Container Nursery Substrates","year":2005,"lang":"en","type":"article","venue":"HortScience","topic":"Composting and Vermicomposting Techniques","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compost; Green waste; Environmental science; Raw material; Horticulture; Paper mill; Nutrient; Pulp and paper industry; Botany; Agronomy; Biology; Environmental engineering; Effluent; Engineering; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000231214,0.0005040449,0.0002680166,0.0002366046,0.0001526591,0.0005687673,0.0003266241,0.00035782,0.001299549],"category_scores_gemma":[0.0002825276,0.0001480235,0.0003159663,0.0003048634,0.0001735273,0.0002358359,0.0003607669,0.0002745761,0.0003984802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000369888,"about_ca_system_score_gemma":0.0003801104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004607079,"about_ca_topic_score_gemma":0.009637347,"domain_scores_codex":[0.9996737,0.00006833695,0.00004888855,0.00007871365,0.00005120999,0.00007913606],"domain_scores_gemma":[0.9995463,0.000158332,0.00007833297,0.00003961817,0.00005444383,0.0001229552],"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":[0.001158158,0.0001068644,0.002617216,0.00009093194,0.00001638264,0.00008203625,0.00005051298,0.0001542168,0.9924316,0.00002659178,0.00004250898,0.003222929],"study_design_scores_gemma":[0.00006893055,0.004980298,0.05528415,0.00004078706,0.0000913826,0.0002328031,0.0002693867,0.0008577796,0.9361717,0.0000275104,0.001956782,0.00001841862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983205,0.0002156845,0.0002198976,0.00000920371,0.000007483504,0.00001722565,0.0002312157,0.00001565631,0.0009630781],"genre_scores_gemma":[0.9939613,0.0002981512,0.001819916,0.00003605936,0.000003931683,0.00004048745,0.001396165,0.00002353173,0.00242054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004607079,"threshold_uncertainty_score":0.009160519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04332991248460608,"score_gpt":0.2523739174870842,"score_spread":0.2090440050024781,"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."}}