{"id":"W1969570565","doi":"10.1063/1.3589596","title":"IMULATION OF POLYMER FORMING PROCESSES—ADDRESSING INDUSTRIAL NEEDS","year":2011,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Thermoforming; Context (archaeology); Injection moulding; Sheet moulding compound; Mechanical engineering; Forming processes; Stamping; Extrusion; Process (computing); Materials science; Manufacturing engineering; Computer science; Engineering; Composite material","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":[0.001144708,0.0003505998,0.0005169213,0.000287021,0.0003450275,0.0007277442,0.0005787445,0.0008737385,0.001540331],"category_scores_gemma":[0.002029107,0.0002781208,0.0004079445,0.0002717595,0.0004804682,0.0008497175,0.0005026981,0.0007013658,0.0003314502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005006264,"about_ca_system_score_gemma":0.0008374371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001021242,"about_ca_topic_score_gemma":0.001057312,"domain_scores_codex":[0.9994511,0.0002841518,0.00001774144,0.00004855514,0.000155791,0.00004259223],"domain_scores_gemma":[0.9993259,0.0003844443,0.00007395141,0.0001016501,0.00009320462,0.00002094484],"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":[0.00004584336,0.00005511569,0.0009212109,0.0001305982,0.00001300263,0.00002746307,0.00005293286,0.9490337,0.005905291,0.01039673,0.000326633,0.03309144],"study_design_scores_gemma":[0.00001244273,0.00006819033,0.0002789158,0.00001534366,0.000005989185,0.00002964165,0.00003188168,0.9850003,0.004686693,0.005141587,0.004722626,0.000006350157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1685142,0.001875572,0.8049402,0.001235184,0.00006314638,0.0000973658,0.0000738894,0.0004867924,0.0227137],"genre_scores_gemma":[0.8524013,0.001712128,0.143057,0.00008221983,0.00004472867,0.0001314962,0.0000942326,0.0001180759,0.00235881],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001540331,"threshold_uncertainty_score":0.006053865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07406245341494166,"score_gpt":0.2380793422081116,"score_spread":0.1640168887931699,"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."}}