{"id":"W7074180580","doi":"","title":"On low consistency refining of mechanical pulps","year":2018,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; FPInnovations; BC Hydro","keywords":"Refining (metallurgy); Consistency (knowledge bases); Comminution; Dimensionless quantity; Pulp (tooth); Measure (data warehouse); Material properties","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":[0.00006608498,0.00002500834,0.0001125616,0.00001424237,0.00008606057,0.000009076327,0.0001175097,0.0001132281,0.0001088057],"category_scores_gemma":[0.00003581003,0.00007982266,0.00007265389,0.00006692608,0.0001995401,0.000004401139,0.00006512366,0.00004892116,0.00001072498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007272165,"about_ca_system_score_gemma":0.00003184547,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004256493,"about_ca_topic_score_gemma":0.02354416,"domain_scores_codex":[0.9995097,0.00002300509,0.0000699715,0.0002077027,0.00009020774,0.00009942176],"domain_scores_gemma":[0.9995528,0.000006327084,0.00007419931,0.0001964233,0.0001287964,0.00004140023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002172567,0.0001619362,0.002437011,0.00007157987,0.0001247903,0.00003118065,0.00007627419,0.000002723207,0.4326154,0.0001077142,0.01543909,0.5487151],"study_design_scores_gemma":[0.001534375,0.002047493,0.9876505,0.00015433,0.00005701967,0.00007246235,0.0005794569,0.00005705886,0.002265129,0.0007581463,0.004558041,0.0002659921],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994203,0.00002754766,0.0003242655,0.00001895151,0.0001405142,0.00003644972,0.00003444384,0.000008088808,0.005206693],"genre_scores_gemma":[0.9987553,0.00002141461,0.0005365285,0.00006604551,0.00005581994,5.991868e-8,0.0000197909,0.000007261457,0.0005377295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9852135,"threshold_uncertainty_score":0.9942736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005447020355535754,"score_gpt":0.1703975137027513,"score_spread":0.1649504933472155,"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."}}