{"id":"W7096949441","doi":"","title":"Ultrasonic Real-Time Quality Monitoring Of Aluminum Spot Weld Process","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Permission; Process (computing); Quality (philosophy); Windsor; Commons; Welding","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001859197,0.0001377874,0.0001847203,0.0007356426,0.00009645413,0.00030371,0.0002534924,0.0003166195,0.001873452],"category_scores_gemma":[0.000438502,0.0001151922,0.00008265101,0.0005621521,0.00009883819,0.0002996732,0.0001488342,0.000147552,0.0003781933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000155927,"about_ca_system_score_gemma":0.00009738452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001050031,"about_ca_topic_score_gemma":0.0010852,"domain_scores_codex":[0.9998059,0.00001389508,0.000008372475,0.00004684896,0.0001139797,0.00001113137],"domain_scores_gemma":[0.9997666,0.00006965617,0.00004217473,0.00001651267,0.00009396649,0.00001105037],"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":[0.0009054105,0.00009456249,0.0172181,0.0003018598,0.00003183315,0.0002397738,0.0004907665,0.00353144,0.8344014,0.000266404,0.001776951,0.1407416],"study_design_scores_gemma":[0.00006272399,0.0007829714,0.2409955,0.00004172819,0.0001124907,0.0007774848,0.0006659729,0.1181113,0.6322331,0.0004265902,0.005729868,0.00006034069],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595521,0.0007787361,0.03410122,0.00006713352,0.00004017946,0.00003282559,0.0007507056,0.0006948274,0.003982246],"genre_scores_gemma":[0.9924451,0.0002134364,0.004770787,0.00001938595,0.00001104678,0.00001055302,0.0002952631,0.00002461402,0.00220991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001873452,"threshold_uncertainty_score":0.006267369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01309031534582347,"score_gpt":0.2833479305962223,"score_spread":0.2702576152503988,"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."}}