{"id":"W2055398279","doi":"10.1115/detc2013-13343","title":"Thermal Control of Continuous Resistance Welding of Fiberglass Laminates for Automated Manufacturing","year":2013,"lang":"en","type":"article","venue":"Volume 4: 18th Design for Manufacturing and the Life Cycle Conference; 2013 ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications","topic":"Synthesis and properties of polymers","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; National Research Council Canada","funders":"","keywords":"Materials science; Welding; Composite material; Electric resistance welding; Heating element; Temperature control; Mechanical engineering; Controller (irrigation); Adhesive; Interfacing; Adhesive bonding; Computer science; 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":[0.000205859,0.0002676249,0.0001330143,0.0001336653,0.0002200069,0.000440901,0.0003001567,0.0001412719,0.001339043],"category_scores_gemma":[0.0003566692,0.0001208391,0.0001472352,0.00007046421,0.0002139761,0.0001334679,0.0001419344,0.000159483,0.0001765275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003636493,"about_ca_system_score_gemma":0.0001857345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001433558,"about_ca_topic_score_gemma":0.002222136,"domain_scores_codex":[0.9998566,0.00001945102,0.000004872941,0.00003549343,0.00006288046,0.0000206373],"domain_scores_gemma":[0.9998301,0.00005515312,0.00004319492,0.00001679011,0.00004610009,0.000008651127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006238449,0.0001908079,0.000982688,0.0001849775,0.00002970309,0.0001287584,0.0002953496,0.1034978,0.8047879,0.003117115,0.001141285,0.08501963],"study_design_scores_gemma":[0.000074016,0.0007910191,0.004400884,0.00002269273,0.00003710304,0.00007971335,0.0000552723,0.7445027,0.2447647,0.0007674169,0.004475802,0.00002857367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7664431,0.0008227965,0.2144692,0.0001318991,0.0001372337,0.00007701622,0.00005242667,0.001011747,0.01685462],"genre_scores_gemma":[0.9969241,0.00003209612,0.002315888,0.00000371462,0.000005874258,0.00000959955,0.00000574399,0.000007308213,0.0006957464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001433558,"threshold_uncertainty_score":0.004479587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02774413559572557,"score_gpt":0.2520685285443238,"score_spread":0.2243243929485983,"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."}}