{"id":"W4400184869","doi":"10.1007/s12649-024-02616-y","title":"Paper Mill Sludge as a Replacement for the Cellulosic Component of Hydroseed Mixtures","year":2024,"lang":"en","type":"article","venue":"Waste and Biomass Valorization","topic":"Materials Engineering and Processing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University; Dalhousie University","funders":"Mitacs","keywords":"Cellulosic ethanol; Component (thermodynamics); Pulp and paper industry; Mill; Waste management; Paper mill; Environmental science; Chemistry; Process engineering; Cellulose; Engineering; Organic chemistry; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":"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":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002450634,0.0002544369,0.0002815709,0.0004616886,0.0002131522,0.0005785911,0.000291254,0.0003012777,0.001597978],"category_scores_gemma":[0.0002689353,0.0001401416,0.0002717952,0.0002794464,0.0001784543,0.0003235105,0.0002839759,0.0003279092,0.0003423709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002881165,"about_ca_system_score_gemma":0.000278132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001034091,"about_ca_topic_score_gemma":0.001860728,"domain_scores_codex":[0.9998091,0.00004909014,0.00002232599,0.00003757051,0.00005074329,0.0000311969],"domain_scores_gemma":[0.999854,0.00003536984,0.00002095603,0.00001558448,0.00003101618,0.00004311742],"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":[0.001152087,0.00008045507,0.000441824,0.00006817689,0.00001335446,0.00007618975,0.00002460821,0.0004217909,0.9903905,0.0001249313,0.00005349031,0.007152527],"study_design_scores_gemma":[0.00001640981,0.0002946888,0.0006131717,0.000004633506,0.00001671956,0.00004592008,0.00001915172,0.0009323516,0.9972205,0.00002064048,0.0008117785,0.000003969383],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975715,0.0003723932,0.0007468832,0.00001953827,0.00002287032,0.000007106272,0.00004844538,0.00004222944,0.001168934],"genre_scores_gemma":[0.9957141,0.0001932686,0.001396816,0.00001481649,0.000003035335,0.000002981456,0.00006653804,0.00002155831,0.002586948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001597978,"threshold_uncertainty_score":0.005345762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008566987094445947,"score_gpt":0.2108538314468055,"score_spread":0.2022868443523596,"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."}}