{"id":"W4391939480","doi":"10.15376/frc.2013.1.261","title":"Some Fundamental Aspects of Pulp Screen Capacity","year":2013,"lang":"en","type":"article","venue":"","topic":"Material Properties and Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pulp (tooth); Computer science; Pulp and paper industry; Biochemical engineering; Engineering; Dentistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005222216,0.0003734647,0.0003760621,0.0006892272,0.000603718,0.002290179,0.001077378,0.0008095322,0.005636914],"category_scores_gemma":[0.003235971,0.000408814,0.0003169638,0.0004821603,0.001748298,0.003156833,0.0007303258,0.0008615628,0.0004676034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001093102,"about_ca_system_score_gemma":0.000527757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001814139,"about_ca_topic_score_gemma":0.0007246814,"domain_scores_codex":[0.9993638,0.00005824408,0.00003607367,0.0001390662,0.0002636289,0.0001390933],"domain_scores_gemma":[0.998486,0.0008971126,0.0001969552,0.0001311863,0.0002276537,0.00006105752],"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":[0.0003088588,0.0002456388,0.007762514,0.001295484,0.00003833974,0.001288946,0.001270115,0.06972867,0.5257342,0.333984,0.001530649,0.05681265],"study_design_scores_gemma":[0.00002134245,0.0005415691,0.02693894,0.0001475391,0.00004686568,0.001866726,0.001118539,0.1353724,0.6254891,0.1768138,0.03143407,0.0002091198],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6120277,0.01461822,0.2107141,0.00241231,0.0002225147,0.0002368576,0.0008962411,0.0005253903,0.1583467],"genre_scores_gemma":[0.9858627,0.002259965,0.005526856,0.00009125793,0.00009413384,0.00005847719,0.0001046241,0.00005322175,0.00594877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005636914,"threshold_uncertainty_score":0.0188573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01898580218940746,"score_gpt":0.1858021320720181,"score_spread":0.1668163298826107,"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."}}