{"id":"W39813892","doi":"","title":"High consistency refining of mechanical pulps during varying refining conditions : High consistency refiner conditions effect on pulp quality","year":2008,"lang":"en","type":"article","venue":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Consistency (knowledge bases); Pulp (tooth); Refining (metallurgy); Pulp and paper industry; Process engineering; Materials science; Engineering; Computer science; Metallurgy; Dentistry; Artificial intelligence; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006659403,0.0002409356,0.000577128,0.0003904816,0.0003666923,0.0008745411,0.0002684403,0.0002891873,0.001795092],"category_scores_gemma":[0.001437259,0.0003040548,0.0003454293,0.0006515808,0.0003309043,0.0005002715,0.0003655501,0.0004617053,0.0003229888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004477598,"about_ca_system_score_gemma":0.0002378687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002965859,"about_ca_topic_score_gemma":0.008203628,"domain_scores_codex":[0.9992474,0.0001118351,0.00006281892,0.0001591201,0.0003292575,0.00008960646],"domain_scores_gemma":[0.9984083,0.0006027008,0.0003749567,0.000153942,0.0003654244,0.00009481431],"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":[0.003065296,0.0002548384,0.0785006,0.0002051967,0.00007154002,0.0002398777,0.0004836421,0.001118193,0.8983775,0.00004530427,0.00004971939,0.01758836],"study_design_scores_gemma":[0.00001892357,0.00221295,0.4428333,0.000008525287,0.00007115225,0.0002150689,0.0003887105,0.0006508734,0.5530663,0.0000353366,0.0004687659,0.00003011911],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994025,0.00007894666,0.0002596644,0.00000224627,8.382433e-7,0.000005045607,0.00004586384,0.000005729818,0.0001991799],"genre_scores_gemma":[0.9987185,0.00005752686,0.00059025,0.000004889731,0.000001084972,0.00000414789,0.0001184298,0.00001931707,0.0004860413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002965859,"threshold_uncertainty_score":0.006005168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02391925805502698,"score_gpt":0.2646435772253941,"score_spread":0.2407243191703671,"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."}}