{"id":"W2098804929","doi":"10.1002/cjce.21818","title":"Understanding of no‐load power in low consistency refiners","year":2013,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Material Properties and Processing","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Power Authority; Centre for Energy Advancement through Technological Innovation; BC Hydro","keywords":"Consistency (knowledge bases); Power (physics); Groove (engineering); Energy (signal processing); Materials science; Mechanical engineering; Process engineering; Structural engineering; Computer science; Engineering; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0005228526,0.0002849707,0.0003973048,0.0005712865,0.0002710709,0.0006281446,0.000717473,0.0003826615,0.001846901],"category_scores_gemma":[0.001321057,0.0003520216,0.0001938517,0.0004392115,0.0005791133,0.000813441,0.0001854511,0.0003954085,0.0004614052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008008284,"about_ca_system_score_gemma":0.0002725207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006039399,"about_ca_topic_score_gemma":0.005804007,"domain_scores_codex":[0.9994426,0.0000468189,0.00001975119,0.0001478987,0.0002952638,0.00004765752],"domain_scores_gemma":[0.9987813,0.000590427,0.0001972772,0.00008172082,0.0003191141,0.00003022492],"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":[0.0007941237,0.0004654081,0.119468,0.0003986123,0.00005055469,0.0003811625,0.000742613,0.03376408,0.8032416,0.001074662,0.0002682642,0.03935107],"study_design_scores_gemma":[0.00003442634,0.0006946402,0.4458624,0.00002082668,0.0000407231,0.0001966955,0.0007589363,0.1190697,0.4301134,0.001422645,0.001728657,0.00005685647],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855455,0.0001983178,0.01210711,0.00005118664,0.000002847712,0.00001929169,0.0001149157,0.00005370589,0.001907225],"genre_scores_gemma":[0.9987024,0.00005320984,0.000676595,0.00000568775,0.000001147521,0.000004991507,0.00005115413,0.00001105007,0.0004937157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006039399,"threshold_uncertainty_score":0.01200849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01849874174550263,"score_gpt":0.1680308671791762,"score_spread":0.1495321254336735,"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."}}