{"id":"W1974088928","doi":"10.4028/www.scientific.net/amr.381.6","title":"Precision Machining for Thin Wall Spherical Shell Based on Magneto-Rheological Fluids Strengthening","year":2011,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Advanced Surface Polishing Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Association of Emergency Physicians","funders":"","keywords":"Magnetorheological fluid; Fixture; Machining; Materials science; Shell (structure); Stiffness; Magnetic field; Rheology; Mechanical engineering; Phase (matter); Composite material; Engineering; Physics; Metallurgy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001778296,0.000326068,0.0004273485,0.0001911631,0.0002106123,0.00009975694,0.0006577893,0.0002533505,0.0008165677],"category_scores_gemma":[0.0009598422,0.0002917391,0.00007594058,0.0002536107,0.0001439143,0.0003467018,0.0001748571,0.0005215755,0.00007456076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001995718,"about_ca_system_score_gemma":0.00003314658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000284071,"about_ca_topic_score_gemma":0.000004941384,"domain_scores_codex":[0.997076,0.0002851989,0.0005052293,0.0005478609,0.0005696312,0.001016133],"domain_scores_gemma":[0.9979334,0.001032414,0.0000468739,0.0006376601,0.0001642399,0.0001854359],"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":[0.001082989,0.000107274,0.00006598349,0.0001616962,0.00001434155,0.00002418006,0.0004332705,0.0222641,0.9554598,0.002895586,0.001071575,0.0164192],"study_design_scores_gemma":[0.0007825092,0.001011115,0.0001853509,0.0001950997,0.000006335695,0.000002722871,0.00006641363,0.07661144,0.8943447,0.02227431,0.004070336,0.0004496071],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6993918,0.0002048967,0.2866167,0.00008256179,0.0006191227,0.001669582,0.0001184591,0.00236904,0.008927818],"genre_scores_gemma":[0.6406795,0.00005764933,0.35852,0.00005251261,0.00007120552,0.0003319329,0.00003038644,0.0001030482,0.0001537724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07190328,"threshold_uncertainty_score":0.9999534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08084309431579817,"score_gpt":0.3518964640935783,"score_spread":0.2710533697777802,"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."}}