{"id":"W2378382238","doi":"","title":"Development on the Manipulator of the Automatic Welding Equipment for Steel Mesh Welding","year":2008,"lang":"en","type":"article","venue":"Machinery & Electronics","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nickel Institute","funders":"","keywords":"Welding; Debugging; Robot welding; Manipulator (device); GRASP; Key (lock); Computer science; Mechanical engineering; Engineering; Engineering drawing; Robotic arm; Operating system","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":[0.0004230144,0.0001800987,0.0002297957,0.00005434754,0.0003482969,0.000009910119,0.0003847413,0.0001445998,0.00001489488],"category_scores_gemma":[0.00005376524,0.0001097412,0.000106495,0.0001561034,0.00003227461,0.0000291176,0.00004326466,0.0003817813,0.000006558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002751309,"about_ca_system_score_gemma":0.00009481374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003956001,"about_ca_topic_score_gemma":0.00001689931,"domain_scores_codex":[0.998867,0.00003754553,0.00035825,0.0001349231,0.0001937679,0.0004085094],"domain_scores_gemma":[0.9994164,0.0001322907,0.00008775992,0.0003225875,0.00001979023,0.00002122103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002797373,0.0004519641,0.005117427,0.000841153,0.003374048,0.00001929498,0.00593153,0.1982578,0.1706309,0.4872662,0.02342252,0.1044073],"study_design_scores_gemma":[0.002977489,0.000391874,0.002485077,0.0004584291,0.0001705272,0.00009862024,0.0003799185,0.3905296,0.4383842,0.002662754,0.1604002,0.001061285],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994894,0.000583841,0.001142769,0.0004468811,0.0004874385,0.0007382482,0.000002289205,0.0002434383,0.001461066],"genre_scores_gemma":[0.9991738,0.00001987864,0.0001673878,0.00006898888,0.00008439178,0.0001582832,0.000001906856,0.00003143329,0.000293923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4846035,"threshold_uncertainty_score":0.4475116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02347439969541868,"score_gpt":0.212129487893142,"score_spread":0.1886550881977233,"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."}}