{"id":"W1985543183","doi":"10.1115/ipc2002-27295","title":"High-Speed Tandem GMAW for Pipeline Welding","year":2002,"lang":"en","type":"article","venue":"4th International Pipeline Conference, Parts A and B","topic":"Welding Techniques and Residual Stresses","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"Gas metal arc welding; Welding; Welding power supply; Mechanical engineering; Pipeline (software); Torch; Electrogas welding; Robot welding; Laser beam welding; Materials science; Arc welding; Engineering; Filler metal","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":[0.0003654717,0.0004162551,0.0003569912,0.0006167244,0.0003725135,0.0004916295,0.0008441838,0.0005852546,0.006995605],"category_scores_gemma":[0.0003963524,0.0003550209,0.0003501082,0.0008297078,0.0002770434,0.0008491753,0.0008068513,0.0006235672,0.003397332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008044917,"about_ca_system_score_gemma":0.000680225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0017711,"about_ca_topic_score_gemma":0.002983139,"domain_scores_codex":[0.9994922,0.00002074752,0.00001456278,0.00008241528,0.0003318955,0.00005810635],"domain_scores_gemma":[0.9997914,0.0000250255,0.00004087513,0.00003992726,0.00008340299,0.00001927259],"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":[0.0002947885,0.00007579559,0.001136845,0.0008928931,0.00003770034,0.0003390026,0.0002402309,0.005811632,0.742423,0.01064178,0.01308293,0.2250234],"study_design_scores_gemma":[0.0001102212,0.001142776,0.005668203,0.000129036,0.0000673867,0.00219797,0.0001279729,0.05926424,0.6363766,0.002819169,0.2919577,0.0001387544],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2485269,0.008962664,0.6012622,0.0008194444,0.0008197438,0.0006060151,0.00095582,0.01305754,0.1249897],"genre_scores_gemma":[0.7558275,0.001740943,0.2076656,0.0001441351,0.00008803964,0.0002008337,0.0008532944,0.0004007663,0.03307879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006995605,"threshold_uncertainty_score":0.02340269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03564447315540734,"score_gpt":0.25523804544227,"score_spread":0.2195935722868627,"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."}}