{"id":"W6939057361","doi":"10.60692/cag0x-6nt40","title":"Optimizing Cu-alloy surface characteristics through magnetic field-enhanced fs laser treatment","year":2024,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Laser-induced spectroscopy and plasma","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Magnetic field; Plasma; Laser; Excitation; Field emission gun; Scanning electron microscope; RADIUS; Electron temperature; Spectroscopy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008015471,0.0002633369,0.0002508336,0.00008238007,0.0000854988,0.0003589264,0.0001068452,0.0001523501,0.0001281536],"category_scores_gemma":[0.000004517077,0.0002176053,0.0000873262,0.0001843641,0.000008487163,0.0007639513,0.00001819914,0.0001364711,0.002270077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002417599,"about_ca_system_score_gemma":0.0000253676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008444898,"about_ca_topic_score_gemma":5.308344e-7,"domain_scores_codex":[0.9988854,0.00002220195,0.0004747948,0.0001406768,0.0001697764,0.0003071601],"domain_scores_gemma":[0.9995459,0.00002205866,0.00004720572,0.0002749902,0.00003839954,0.00007147105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003255883,0.0000262564,0.005078214,0.01165593,0.001170995,0.0002719307,0.7722896,0.1851662,0.006559629,0.002022404,0.003352588,0.01208061],"study_design_scores_gemma":[0.001827716,0.0007080925,0.001285468,0.001525257,0.0002479905,0.000131001,0.008497531,0.50735,0.4646576,0.000006177683,0.01235285,0.001410319],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9487162,0.00002434078,0.03222866,0.00003613437,0.001884244,0.0003269781,0.0001440726,0.001239354,0.01540004],"genre_scores_gemma":[0.998007,0.000006373806,0.001164599,0.00004999903,0.0001437359,0.00004201969,0.00004627686,0.00002676281,0.0005132436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7637921,"threshold_uncertainty_score":0.9985068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01845015695742266,"score_gpt":0.2086239566553925,"score_spread":0.1901737996979699,"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."}}