{"id":"W2036863437","doi":"10.1002/pen.20333","title":"Comparison of experimental and analytical vibration welding meltdown‐time profiles for nylon 66 and polypropylene","year":2005,"lang":"en","type":"article","venue":"Polymer Engineering and Science","topic":"Material Properties and Processing","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Royal Military College of Canada","funders":"","keywords":"Polypropylene; Materials science; Nylon 66; Nylon 6; Composite material; Work (physics); Welding; Polymer; Shear (geology); Shear rate; Viscosity; Mechanics; Thermodynamics; Polyamide","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":[0.0004371206,0.0003191665,0.0001760344,0.0005161825,0.0002431091,0.0002693222,0.0003596015,0.0003992198,0.00197961],"category_scores_gemma":[0.001629023,0.0001790085,0.0001937009,0.0003103864,0.0002640029,0.0003678221,0.0001186823,0.0003067036,0.0003640498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004370798,"about_ca_system_score_gemma":0.0001431951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009250243,"about_ca_topic_score_gemma":0.000818079,"domain_scores_codex":[0.9997463,0.00002556221,0.00001238859,0.00004257552,0.0001443156,0.00002886882],"domain_scores_gemma":[0.9992066,0.0003786562,0.0001117673,0.00006940866,0.0002103275,0.00002326456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000848321,0.00013611,0.003573655,0.0001490402,0.0000100218,0.0001418784,0.0003689508,0.008336213,0.9522358,0.000372895,0.0002646974,0.0335624],"study_design_scores_gemma":[0.00002460257,0.0004694534,0.01383415,0.00001673336,0.00001176954,0.0001352686,0.0001106698,0.0284702,0.9554467,0.0001103714,0.001347837,0.00002229329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976164,0.0002908445,0.02058568,0.00003171698,0.00001608471,0.00002291534,0.0001856204,0.0002873286,0.002415854],"genre_scores_gemma":[0.9967365,0.00007783205,0.002328094,0.000004656381,0.000002702718,0.000009325111,0.0001079112,0.00002481487,0.0007080754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00197961,"threshold_uncertainty_score":0.006622493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482951658884231,"score_gpt":0.2615256608402149,"score_spread":0.2466961442513727,"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."}}