{"id":"W3118618423","doi":"","title":"Laser polishing and structuring of tooling and functional surfaces","year":2020,"lang":"en","type":"article","venue":"The Open Access Journal of Science and Technology","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Polishing; Abrasive; Automotive industry; Gloss (optics); Mechanical engineering; Automation; Manufacturing engineering; Computer science; Materials science; Aerospace; Process (computing); Engineering drawing; Engineering; Coating; Nanotechnology; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006727105,0.0004335877,0.0002961807,0.0009763193,0.0003507456,0.0009135281,0.0005542184,0.0006525235,0.002474774],"category_scores_gemma":[0.0009183821,0.0003168532,0.0004991757,0.0006244229,0.0005913605,0.0006949095,0.0005807232,0.0006779349,0.001002734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005145466,"about_ca_system_score_gemma":0.0005240351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005264171,"about_ca_topic_score_gemma":0.0007971252,"domain_scores_codex":[0.999182,0.0000703027,0.00004716192,0.000138852,0.0004885576,0.00007297382],"domain_scores_gemma":[0.9995876,0.0001317733,0.00007447611,0.00009100227,0.0001011816,0.00001403385],"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":[0.00005118507,0.00002139835,0.0004009693,0.0006366044,0.00001457401,0.0001983217,0.0001931027,0.003289293,0.9047383,0.007543372,0.0007654505,0.08214743],"study_design_scores_gemma":[0.00001469945,0.0004376798,0.003161095,0.00006720716,0.00001796036,0.0008971704,0.0001228113,0.01049933,0.9294096,0.002824361,0.05251056,0.00003743747],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.325132,0.01391144,0.6213068,0.0003806633,0.0004160178,0.0003819604,0.000620077,0.002212957,0.03563795],"genre_scores_gemma":[0.7646326,0.005150835,0.2143147,0.0002040374,0.0000798967,0.0002094111,0.0004947285,0.0002980709,0.01461567],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002474774,"threshold_uncertainty_score":0.008278966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04105294398214451,"score_gpt":0.2882038688349207,"score_spread":0.2471509248527762,"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."}}