{"id":"W1493134138","doi":"10.15376/frc.2005.2.1139","title":"A Stochastic Structure Model for Predicting Sheet Consolidation and Print Uniformity","year":2005,"lang":"en","type":"article","venue":"","topic":"Material Properties and Processing","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Catalyst Paper (Canada)","funders":"","keywords":"Calendering; Consolidation (business); Stiffness; Materials science; Compression (physics); Deformation (meteorology); Structural engineering; Computer science; Composite material; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003926955,0.00006190361,0.00006127951,0.00001464543,0.00005350795,0.00004866041,0.00002582942,0.00003607204,0.00003333138],"category_scores_gemma":[0.00001111734,0.00004947901,0.000007324566,0.00001395001,0.000008553287,0.0001363195,0.00001338927,0.00003394581,4.957907e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001518113,"about_ca_system_score_gemma":0.000006846716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003224772,"about_ca_topic_score_gemma":0.00001951904,"domain_scores_codex":[0.9997047,0.000001578549,0.00009420785,0.00006707411,0.00003216819,0.0001002307],"domain_scores_gemma":[0.9998918,0.000007990665,0.00001068905,0.00004376968,0.00001770506,0.00002800934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001079553,0.000001366591,0.00002089364,0.0001610418,0.000006028434,1.916185e-8,0.0003867746,0.9798679,0.005841611,0.0004624368,0.00004178773,0.01319929],"study_design_scores_gemma":[0.000144951,0.00000715548,0.00002738057,0.00001472354,0.000005789173,0.000002571732,0.00002604794,0.9948635,0.004090664,0.0006596621,0.00008953037,0.00006804393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5453273,0.00004278727,0.45379,0.00004119651,0.00004021616,0.0001187899,0.00001363811,0.000118067,0.0005079547],"genre_scores_gemma":[0.9872804,0.000002646207,0.01250086,0.00003221746,0.00008458945,0.000007070955,0.000006058681,0.00001105852,0.00007511425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4419531,"threshold_uncertainty_score":0.2017695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01324767774758002,"score_gpt":0.2117067131515613,"score_spread":0.1984590354039813,"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."}}