{"id":"W2804816015","doi":"10.15376/biores.13.3.5164-5178","title":"ZnCl2 pretreatment of bamboo chips to produce chemi-thermomechanical pulp: Saving refining energy and improving pulp properties","year":2018,"lang":"en","type":"article","venue":"BioResources","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Bamboo; Materials science; Pulp (tooth); Pulp and paper industry; Crystallinity; Ultimate tensile strength; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001244832,0.0003423011,0.0001613222,0.0001676005,0.0001242649,0.0001972617,0.000167943,0.0002244714,0.0006130797],"category_scores_gemma":[0.00009560983,0.0001065378,0.0001224879,0.0001396497,0.0001084768,0.0002434351,0.00008790745,0.0002716574,0.0001334932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001864967,"about_ca_system_score_gemma":0.0001710715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007619043,"about_ca_topic_score_gemma":0.003030081,"domain_scores_codex":[0.9999362,0.000007727249,0.000004654027,0.00001580176,0.00002133971,0.00001421767],"domain_scores_gemma":[0.9999716,0.000005399503,0.00000860566,0.000003043376,0.000006712412,0.000004619929],"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":[0.00001717104,0.000007758675,0.00007838495,0.00003293821,0.000001479336,0.00001939695,0.00000492433,0.00003704013,0.9989142,0.0000150574,0.000004759062,0.0008668859],"study_design_scores_gemma":[0.000001461861,0.0000312438,0.0008142067,0.000001222577,0.000002729801,0.00002491914,0.000007031254,0.0001532289,0.9985842,0.000005116293,0.0003736232,0.000001191272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918276,0.001119158,0.005619096,0.00005203476,0.00002304053,0.00002979926,0.0001261783,0.00003198367,0.001171175],"genre_scores_gemma":[0.9903585,0.0007728374,0.006648571,0.00003381674,0.000005361629,0.00001670756,0.0001213952,0.00001235501,0.0020305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007619043,"threshold_uncertainty_score":0.002050996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03032187779379936,"score_gpt":0.258861824398122,"score_spread":0.2285399466043226,"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."}}