{"id":"W3124365892","doi":"10.1364/assl.2020.jtu5a.21","title":"Formation of Shape and Surface Quality of Laser Material Remelted Lines Obtained Through Defocusing","year":2020,"lang":"en","type":"article","venue":"Laser Congress 2020 (ASSL, LAC)","topic":"Advanced Surface Polishing Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Western University","funders":"","keywords":"Polishing; Materials science; Surface (topology); Laser; Structuring; Smoothing; Optics; Laser beams; Quality (philosophy); Laser beam quality; Beam (structure); Surface roughness; Metallurgy; Geometry; Composite material; Computer science; Physics; Mathematics","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":[0.0002096243,0.000241296,0.0005290724,0.00002633569,0.00004082251,0.00004234147,0.0002001608,0.0001474099,0.0000596234],"category_scores_gemma":[0.000259597,0.0002458527,0.00006538308,0.0002513751,0.00009560974,0.0007667808,0.0001293463,0.0001598658,0.000003284018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003568745,"about_ca_system_score_gemma":0.00001716453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000132545,"about_ca_topic_score_gemma":0.00006197875,"domain_scores_codex":[0.998503,0.0001030528,0.0006676586,0.0002283594,0.0002486316,0.0002493114],"domain_scores_gemma":[0.9991106,0.0001402591,0.0002305111,0.0002621256,0.0001715256,0.00008500507],"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":[0.0006143937,0.00006135462,0.005382152,0.003283325,0.0001561749,0.00001912787,0.004090034,0.06154322,0.9171358,0.000440138,0.006508611,0.0007656503],"study_design_scores_gemma":[0.0005951696,0.00005373441,0.0003593304,0.0001324075,0.00003079148,0.000001731862,0.0002023736,0.03729103,0.959105,0.0006293688,0.001324429,0.0002746513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905478,0.0001996287,0.007117595,0.0005159643,0.0002443198,0.0002870359,0.000244379,0.0005684154,0.0002749132],"genre_scores_gemma":[0.9800149,0.0001518747,0.01952215,0.00008889584,0.00007906927,0.000006961111,0.00006423793,0.00005320857,0.00001874573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04196917,"threshold_uncertainty_score":0.9999993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03533094299726385,"score_gpt":0.2846934693397189,"score_spread":0.249362526342455,"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."}}