{"id":"W4220954540","doi":"10.1117/1.oe.61.3.035104","title":"Surface topography in single-point diamond turning of image slicers","year":2022,"lang":"en","type":"article","venue":"Optical Engineering","topic":"Advanced Surface Polishing Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Diamond turning; Raster graphics; Diamond; Enhanced Data Rates for GSM Evolution; Surface (topology); Materials science; Point (geometry); Optics; Fabrication; Computer science; Mechanical engineering; Geometry; Computer graphics (images); Physics; Computer vision; Engineering; Composite material","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":[],"consensus_categories":[],"category_scores_codex":[0.0002308597,0.0001835227,0.0002640671,0.0001978295,0.00002885065,0.00001945746,0.0002315879,0.00005064346,0.00005171007],"category_scores_gemma":[0.0001042479,0.0002313439,0.00008181814,0.0005573627,0.00003111086,0.00021894,0.0001465929,0.0005446281,0.000001675409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002079984,"about_ca_system_score_gemma":0.000006664724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001636414,"about_ca_topic_score_gemma":0.000002227357,"domain_scores_codex":[0.9988855,0.00001238451,0.0003152231,0.0001789474,0.0002195558,0.0003883876],"domain_scores_gemma":[0.9994808,0.0001571405,0.00002485977,0.0002387906,0.00001650541,0.00008194224],"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":[0.000003248542,0.0000186676,0.0001798974,0.00005033686,0.000009600259,0.00001369347,0.0001914437,0.6893256,0.3091446,0.000756856,0.00003887856,0.0002672594],"study_design_scores_gemma":[0.0005322427,0.0001513809,0.001399705,0.0001183703,0.00001812969,0.00002178804,0.0003720978,0.6273153,0.3658935,0.0004556051,0.002916916,0.0008049138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9235237,0.0003544127,0.0719908,0.00004357914,0.0002181699,0.0001583317,0.00001447484,0.0008370616,0.002859473],"genre_scores_gemma":[0.8672692,0.00001197737,0.1325993,0.000007552757,0.00001418465,0.00002200795,0.000004598671,0.00006379966,0.000007478568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06201023,"threshold_uncertainty_score":0.943393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006540742783608763,"score_gpt":0.2038840986670964,"score_spread":0.1973433558834877,"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."}}