{"id":"W4220968417","doi":"10.32964/tj21.2.83","title":"Utilization of kraft pulp mill residuals","year":2022,"lang":"en","type":"article","venue":"TAPPI Journal","topic":"Recycling and utilization of industrial and municipal waste in materials production","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; FPInnovations","keywords":"Waste management; Lime; Paper mill; Incineration; Kraft process; Environmental science; Tonne; Pulp mill; Engineering; Mill; Boiler (water heating); Pulp (tooth); Kraft paper; Pulp and paper industry; Effluent","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005480066,0.00006577666,0.0001204152,0.0001046711,0.0001844261,0.00002200438,0.0001137292,0.00003154617,0.0008793695],"category_scores_gemma":[0.00003978704,0.00006325235,0.00004114263,0.000169854,0.00001447565,0.0000735831,0.00002570261,0.0001878911,0.000004337437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003438202,"about_ca_system_score_gemma":0.00002005431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005617247,"about_ca_topic_score_gemma":4.533607e-7,"domain_scores_codex":[0.9992142,0.00008698596,0.000327777,0.00006145546,0.0001971528,0.0001124076],"domain_scores_gemma":[0.9997039,0.0000150896,0.00009227998,0.00009522555,0.00005363806,0.00003983971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005922426,0.00006638775,0.0002224066,0.00005281844,0.00007412871,0.000006456735,0.0009723942,0.8253914,0.1048987,0.0006076203,0.04444148,0.02320703],"study_design_scores_gemma":[0.001382529,0.0003457875,0.0005123939,0.00008351813,0.00006589356,0.0004682402,0.002355788,0.01445052,0.2688904,0.003300218,0.7077404,0.0004043261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907415,0.0009285818,0.001049957,0.000200037,0.003540732,0.00009109714,0.00001741444,0.00008661268,0.003344104],"genre_scores_gemma":[0.9981776,0.0004233893,0.0002123422,0.00001515363,0.0004362056,0.000004411961,0.00001297776,0.00001467977,0.0007032291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8109409,"threshold_uncertainty_score":0.9628479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05162653464378539,"score_gpt":0.2669800581847449,"score_spread":0.2153535235409595,"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."}}