{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009588814,0.0001636658,0.0001833518,0.0002053963,0.00006109609,0.00005625713,0.0001651373,0.0001465591,0.0001601503],"category_scores_gemma":[0.00005353292,0.0001609935,0.0000272146,0.0003677724,0.00003724901,0.0006906436,0.00003064422,0.000151952,0.000004482127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002398775,"about_ca_system_score_gemma":0.00005610714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002942607,"about_ca_topic_score_gemma":0.000001604229,"domain_scores_codex":[0.9991707,0.00000144993,0.0002946263,0.0001359942,0.0001686091,0.0002285945],"domain_scores_gemma":[0.99948,0.00001203636,0.0001164924,0.00006158515,0.0002686007,0.00006128512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006803408,0.0005350804,0.3048426,0.01370344,0.0005424148,0.000006911646,0.2174322,0.004037321,0.1329721,0.04049651,0.001431921,0.2833192],"study_design_scores_gemma":[0.001043711,0.0001474957,0.00266944,0.0007696709,0.00008652449,0.000009135899,0.00208317,0.1293992,0.8608423,0.001892249,0.0003671966,0.0006898391],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.888575,0.0002204517,0.0654266,0.00002370458,0.0002664434,0.0002969068,0.000004307269,0.0004678507,0.04471879],"genre_scores_gemma":[0.99871,0.00003665947,0.001015926,0.00001125054,0.00008624121,0.00001958894,0.000005386775,0.00002896275,0.00008595674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7278703,"threshold_uncertainty_score":0.6565126,"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."}}