{"id":"W6989333141","doi":"","title":"Application of picosecond laser for polishing of AISI H13 tool steel sample prepared by micro milling","year":2013,"lang":"en","type":"article","venue":"NPARC","topic":"Laser Material Processing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Polishing; Surface roughness; Fluence; Surface finish; Laser; Tool steel; Offset (computer science)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009812165,0.0000928908,0.0001692076,0.00003905751,0.00002067855,0.00003268906,0.0001639162,0.00007269582,0.00006544356],"category_scores_gemma":[0.00005113689,0.00009566534,0.00003419772,0.00005925882,0.00002244528,0.0002206722,0.00002608566,0.00003814724,0.000001694427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002820433,"about_ca_system_score_gemma":0.000009387299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001197098,"about_ca_topic_score_gemma":0.000004474397,"domain_scores_codex":[0.9993771,0.000006952352,0.000278588,0.0001187394,0.0000728861,0.0001457309],"domain_scores_gemma":[0.999522,0.00007692492,0.00007902559,0.0002067788,0.00009101616,0.0000242679],"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":[0.000004860766,0.00001447896,0.0001197699,0.0004039286,0.00001204644,1.04998e-8,0.0001375687,0.0001256197,0.987265,0.00009044036,0.008560707,0.003265608],"study_design_scores_gemma":[0.0001582466,0.00002524757,0.00004862597,0.00003828005,0.000009030166,2.320054e-7,0.00002187161,0.01101934,0.9790585,0.006440487,0.003080408,0.00009971178],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8793311,0.00004051761,0.1190793,0.00002687613,0.0000538189,0.0004916916,0.0002129463,0.0002226853,0.0005411141],"genre_scores_gemma":[0.9153329,0.000005298787,0.08432032,0.00001946934,0.00003481124,0.0001725646,0.00006092871,0.00003042112,0.00002335335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03600175,"threshold_uncertainty_score":0.3901119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006672462585833349,"score_gpt":0.2133609752867247,"score_spread":0.2066885127008913,"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."}}