{"id":"W2064723735","doi":"10.15376/biores.10.1.1048-1059","title":"Merging Interstage Fractionation and Low Consistency Advantages During the TMP Refining Process: Part III – How Fibre Morphology Impacts Paper Properties","year":2014,"lang":"en","type":"article","venue":"BioResources","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cegep de Trois-Rivieres; Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Refining (metallurgy); Consistency (knowledge bases); Fractionation; Materials science; Ultimate tensile strength; Composite material; Pulp (tooth); Metallurgy; Computer science; Chromatography; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006100162,0.0003943667,0.0005041759,0.0004057668,0.0002921642,0.0007655552,0.0002984486,0.0004145804,0.001377346],"category_scores_gemma":[0.001360173,0.0002989447,0.0003775353,0.0007021343,0.0004265763,0.001016826,0.0004251767,0.0007887832,0.0002789013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003638361,"about_ca_system_score_gemma":0.000322407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001409573,"about_ca_topic_score_gemma":0.002721132,"domain_scores_codex":[0.9994732,0.00004246674,0.00003633658,0.0001372124,0.0002123139,0.00009851062],"domain_scores_gemma":[0.9991787,0.0002967951,0.0001804259,0.0001166437,0.0001816446,0.00004570569],"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":[0.0002193713,0.00003283822,0.001967582,0.00008158664,0.000008881497,0.00008098654,0.0001035177,0.0002684095,0.9893681,0.00006491318,0.00001574144,0.007788058],"study_design_scores_gemma":[0.000004851975,0.0002633275,0.01723047,0.000006059014,0.00001972287,0.00009678422,0.00008246912,0.0006723637,0.9808689,0.00004383763,0.0006987383,0.00001247652],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933023,0.000581821,0.004833286,0.00002361019,0.00001136915,0.00004065315,0.00007408168,0.00004887496,0.001083974],"genre_scores_gemma":[0.9936906,0.0002723573,0.004608692,0.00002852972,0.00000549872,0.00002365102,0.00008978863,0.00005156343,0.001229294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001409573,"threshold_uncertainty_score":0.004607677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01592911217011405,"score_gpt":0.2557012517477578,"score_spread":0.2397721395776438,"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."}}