{"id":"W4392598150","doi":"10.5194/egusphere-egu24-3195","title":"Could amending different organic wastes with Pulp and Paper Mill Sludge (PPMS) thrive the production performance of Eisenia fetida? ","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Composting and Vermicomposting Techniques","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Eisenia fetida; Paper mill; Pulp (tooth); Pulp and paper industry; Waste management; Environmental science; Chemistry; Biotechnology; Environmental engineering; Agronomy; Biology; Engineering; Medicine; Dentistry; Earthworm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","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":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002389699,0.0003083951,0.0004119066,0.000148475,0.0001479043,0.0004362924,0.0002423361,0.0004269447,0.0005150818],"category_scores_gemma":[0.0003430693,0.0001586161,0.000224285,0.0001246759,0.0001930263,0.0002862285,0.0002712645,0.0002750228,0.0001437466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003070751,"about_ca_system_score_gemma":0.0003272684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001841643,"about_ca_topic_score_gemma":0.004547769,"domain_scores_codex":[0.9997467,0.00004045108,0.00003500336,0.00007783495,0.00005392086,0.00004609325],"domain_scores_gemma":[0.9998042,0.00004590464,0.000059002,0.00001315935,0.00003618288,0.00004154715],"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":[0.0004025843,0.0001264388,0.002273067,0.0001244883,0.00001132844,0.00005889894,0.00002996947,0.000125262,0.9925687,0.00002493239,0.000028431,0.00422597],"study_design_scores_gemma":[0.0000369607,0.00540981,0.02316874,0.00002777775,0.00009082127,0.0001202942,0.0001852024,0.0008865009,0.9676769,0.00005033875,0.002328434,0.00001824001],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987379,0.0002480382,0.0002718887,0.00004578484,0.00002033799,0.00002593775,0.0001162009,0.00001208677,0.0005217929],"genre_scores_gemma":[0.9954601,0.0003488178,0.002240552,0.00005928786,0.000007767787,0.00003278205,0.0002623981,0.00000553255,0.001582794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001841643,"threshold_uncertainty_score":0.003661871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02496786227687771,"score_gpt":0.2294700962634174,"score_spread":0.2045022339865397,"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."}}