{"id":"W2606448148","doi":"10.1007/s10570-017-1285-y","title":"Recent trends and developments in dissolving pulp production and application","year":2017,"lang":"en","type":"article","venue":"Cellulose","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":133,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Dissolving pulp; Pulp and paper industry; Hemicellulose; Pulp (tooth); Bioprocess; Dissolution; Paper production; Emerging technologies; Biochemical engineering; Business; Environmental science; Process engineering; Engineering; Nanotechnology; Materials science; Cellulose; Chemical engineering; Mechanical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003644468,0.0000940382,0.0001193393,0.00007617087,0.0003634299,0.0001013038,0.0001225983,0.00003011277,0.00001839386],"category_scores_gemma":[0.0003336786,0.00008396678,0.000005942177,0.00006419358,0.0001885728,0.0003311222,0.0002535041,0.00006962901,0.00001597353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007476514,"about_ca_system_score_gemma":0.00001515403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003624857,"about_ca_topic_score_gemma":0.0001510067,"domain_scores_codex":[0.9990948,0.0000279675,0.0001394788,0.000360425,0.0001474437,0.0002299279],"domain_scores_gemma":[0.9995067,0.00002187527,0.00009490989,0.0002723067,0.00004028944,0.00006396729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002253224,0.00003531279,0.01789772,0.00003891253,0.000002643213,0.000005058437,0.0005888256,0.000002494529,0.6118265,0.0001530719,0.00005240461,0.3693745],"study_design_scores_gemma":[0.000446036,0.00003503271,0.4951039,0.00008501871,0.000007012603,0.000007926632,0.0001596981,0.0002163741,0.4900025,0.001177485,0.01248114,0.0002778222],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955966,0.001242167,0.0001579694,0.0008273316,0.0001298273,0.0001714901,0.000001746555,0.00002441372,0.00184845],"genre_scores_gemma":[0.9949249,0.002264639,0.001340241,0.000005865589,0.00004866028,0.00005936674,0.000003234868,0.000008464635,0.001344631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4772062,"threshold_uncertainty_score":0.3424066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02749204776488585,"score_gpt":0.3142924542812127,"score_spread":0.2868004065163268,"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."}}