{"id":"W2085906363","doi":"10.1108/01439911011009948","title":"Simulation of friction stir welding using industrial robots","year":2010,"lang":"en","type":"article","venue":"Industrial Robot the international journal of robotics research and application","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; National Research Council Canada","funders":"","keywords":"Aerospace; Friction stir welding; Robot; Process (computing); Robot welding; Industrial robot; Mechanical engineering; Engineering; Workcell; Control engineering; Welding; Simulation; Computer science; Aerospace 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001513959,0.0001113942,0.0001935318,0.0004323166,0.0001207524,0.00009592678,0.0005355926,0.0002178173,0.00001138335],"category_scores_gemma":[0.0007024583,0.00009098448,0.00007360241,0.0004547039,0.0001292575,0.0002820813,0.00009936944,0.00122826,0.000001040834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000156651,"about_ca_system_score_gemma":0.00007999794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000580399,"about_ca_topic_score_gemma":0.00001328466,"domain_scores_codex":[0.9981695,0.00005874955,0.0005967672,0.0001192955,0.0008736033,0.0001820955],"domain_scores_gemma":[0.997761,0.0006451976,0.0003174372,0.0001869964,0.001003369,0.0000860666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006112775,0.00002620153,0.0005173573,0.000002372102,0.00007744812,0.000001361739,0.00002875463,0.8529674,0.1298778,0.0006929474,0.0001047527,0.01564241],"study_design_scores_gemma":[0.0006233919,0.00008832275,0.00008240333,0.00006523766,0.00003834047,0.00002571738,0.00007523256,0.9505781,0.04272728,0.004832738,0.0007624459,0.0001007876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2374494,0.00003762032,0.7609387,0.0005859034,0.0006684735,0.0002288741,0.000005188544,0.00002777847,0.00005813011],"genre_scores_gemma":[0.9847935,0.00007688734,0.01360256,0.000004751036,0.001483811,0.00000479032,0.000005437934,0.00002020772,0.000008082219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7473441,"threshold_uncertainty_score":0.5336246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1310352764254002,"score_gpt":0.391260550110044,"score_spread":0.2602252736846438,"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."}}