{"id":"W2175859338","doi":"10.1179/136217101101538532","title":"Methodology for development of welding procedures and empirical weld process models based on principal component analysis techniques","year":2001,"lang":"en","type":"article","venue":"Science and Technology of Welding & Joining","topic":"Welding Techniques and Residual Stresses","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; QUAD Engineering (Canada)","funders":"","keywords":"Welding; Mechanical engineering; Joint (building); Materials science; Gas tungsten arc welding; Process (computing); Enhanced Data Rates for GSM Evolution; Structural engineering; Engineering drawing; Computer science; Arc welding; Engineering; Artificial intelligence","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":[0.00745994,0.00184015,0.001005034,0.002359707,0.0007065911,0.001695424,0.002159409,0.0008705167,0.00628158],"category_scores_gemma":[0.01111037,0.00112747,0.001852745,0.001995576,0.001021047,0.001419732,0.001552064,0.002678921,0.002403345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008957082,"about_ca_system_score_gemma":0.003817412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002999197,"about_ca_topic_score_gemma":0.002469046,"domain_scores_codex":[0.9954223,0.001871578,0.0003703703,0.0006156341,0.001592561,0.0001275068],"domain_scores_gemma":[0.9945476,0.002708248,0.0004828101,0.0007317262,0.001461896,0.00006766525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001118893,0.0004511179,0.002603946,0.002118616,0.0003346886,0.0002517126,0.0009361288,0.2191973,0.02038975,0.1547569,0.005707494,0.5931404],"study_design_scores_gemma":[0.000118993,0.0005702046,0.003421432,0.000360988,0.0001270632,0.0002543225,0.0002371329,0.8384141,0.01473112,0.0846889,0.05690154,0.0001742343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003839064,0.00003124372,0.9986173,0.00001188497,0.000006584841,0.00023358,0.00004445143,0.0003283677,0.0003426955],"genre_scores_gemma":[0.009490367,0.0001301664,0.98787,0.00001510896,0.00001124318,0.001689701,0.0002180107,0.00009376308,0.0004816006],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00745994,"threshold_uncertainty_score":0.03945237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08007044047043232,"score_gpt":0.3549453129546904,"score_spread":0.2748748724842581,"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."}}