{"id":"W3111041514","doi":"10.1364/lac.2020.lw4b.1","title":"Advanced Capabilities in Laser Surface Polishing and Functionalization at the National Research Council of Canada","year":2020,"lang":"en","type":"article","venue":"Laser Congress 2020 (ASSL, LAC)","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Polishing; Surface modification; Research council; Laser; Materials science; Engineering; Mechanical engineering; Optics; Metallurgy; Physics; Government (linguistics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002009959,0.0001198179,0.0001896639,0.00001944767,0.0002640783,0.0000759322,0.0002183052,0.00005769787,0.001114958],"category_scores_gemma":[0.002551337,0.00009717931,0.00002197021,0.0003602316,0.0002913503,0.0002607461,0.0001459087,0.0001640977,0.0000189932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001194954,"about_ca_system_score_gemma":0.002385191,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07110187,"about_ca_topic_score_gemma":0.3731644,"domain_scores_codex":[0.9965626,0.0003624833,0.0003192834,0.0003631839,0.002122061,0.0002703898],"domain_scores_gemma":[0.9974966,0.0006920451,0.00008128073,0.0001611796,0.001454716,0.0001141563],"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":[0.0009568309,0.0001267084,0.06430404,0.0003383727,0.00003574949,0.00002240011,0.01002044,0.1608487,0.5747184,0.002590213,0.1859693,0.00006882285],"study_design_scores_gemma":[0.003538006,0.0001569571,0.03661969,0.0001367058,0.0000222561,0.00001138375,0.009181794,0.04635472,0.6584112,0.001387702,0.2433561,0.0008234447],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861839,0.0002564476,0.000009978843,0.0103927,0.0002693441,0.0002457165,0.0002323392,0.00002152678,0.002388048],"genre_scores_gemma":[0.9967288,0.00003007013,0.00005225819,0.0009579559,0.00005112014,0.00002049237,0.00001814482,0.00001297005,0.002128147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3020626,"threshold_uncertainty_score":0.9997982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08911464708581876,"score_gpt":0.2836387561246485,"score_spread":0.1945241090388297,"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."}}