{"id":"W2132229809","doi":"10.1007/s00170-015-7105-3","title":"Modelling and optimisation of a femtosecond laser micro-machining process for micro-hole array products","year":2015,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Laser Material Processing Techniques","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Nanjing University of Science and Technology","keywords":"Femtosecond; Machining; Laser drilling; Particle swarm optimization; Process (computing); Laser; Mechanical engineering; Drilling; Computer science; Engineering; Algorithm; Optics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003164278,0.0005316885,0.0007955775,0.0004190053,0.0005777852,0.001258289,0.000918727,0.001753314,0.002686959],"category_scores_gemma":[0.0006465245,0.0006652568,0.000845979,0.0006140946,0.0004374372,0.0007314371,0.0002902809,0.0004608617,0.0004517453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001254385,"about_ca_system_score_gemma":0.001653281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01380007,"about_ca_topic_score_gemma":0.01070112,"domain_scores_codex":[0.9997757,0.00002468334,0.00001115517,0.00003653504,0.0001187392,0.00003318274],"domain_scores_gemma":[0.9996963,0.000149503,0.00004761868,0.00002641552,0.0000678952,0.00001229428],"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":[0.0000387259,0.00003714138,0.000437128,0.00005979206,0.00001233251,0.00005892573,0.0000257133,0.9875152,0.007262934,0.0005218397,0.000107034,0.003923183],"study_design_scores_gemma":[0.000009500204,0.00005645573,0.0006744239,0.000004654876,0.00001121197,0.00002383139,0.00001305557,0.9952129,0.003157442,0.0002231758,0.000604776,0.000008573009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6576993,0.001937869,0.2928629,0.0004211678,0.0001281268,0.0003205276,0.0006647891,0.001095612,0.04486974],"genre_scores_gemma":[0.9776672,0.0004238257,0.01617865,0.00001557588,0.000006267116,0.00008409037,0.0001402453,0.00006114088,0.005423036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01380007,"threshold_uncertainty_score":0.02743953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0200102246278945,"score_gpt":0.2633178235414129,"score_spread":0.2433075989135184,"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."}}