{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006824515,0.0004654153,0.000675,0.000594259,0.0004149418,0.0006723506,0.0009220382,0.001518146,0.001133063],"category_scores_gemma":[0.00255675,0.0005541399,0.0005952533,0.0004343474,0.0008590451,0.0008389729,0.0004144314,0.0006516103,0.000214191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009646763,"about_ca_system_score_gemma":0.0008204201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01034883,"about_ca_topic_score_gemma":0.006434861,"domain_scores_codex":[0.9998142,0.00004052617,0.000009865419,0.00004144562,0.00006135322,0.00003260975],"domain_scores_gemma":[0.9991021,0.0004901098,0.0001679635,0.00005609534,0.000121731,0.00006206157],"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":[0.000008448767,0.000006594997,0.0003096075,0.000004529227,0.000004544855,0.00002233696,0.000004516403,0.9968988,0.0005151173,0.001647276,0.00004811299,0.0005300718],"study_design_scores_gemma":[0.000001793785,0.000002438161,0.00006376782,3.49822e-7,8.32386e-7,0.000002281443,5.001148e-7,0.999519,0.00005123362,0.0003385488,0.00001822173,0.000001073831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4302899,0.0003645047,0.5622293,0.0005211357,0.00004753469,0.00007054975,0.0004403556,0.0004592549,0.005577488],"genre_scores_gemma":[0.9847406,0.0001712137,0.01231891,0.00004542418,0.00002915838,0.00008061705,0.0001863942,0.00003128536,0.002396386],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01034883,"threshold_uncertainty_score":0.02057719,"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."}}