{"id":"W2054232931","doi":"10.1364/ao.52.004072","title":"Ultrafast web inspection with hybrid dispersion laser scanner","year":2013,"lang":"en","type":"article","venue":"Applied Optics","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Program for New Century Excellent Talents in University; Natural Sciences and Engineering Research Council of Canada; Burroughs Wellcome Fund","keywords":"Scanner; Optics; Ultrashort pulse; Laser; Dispersion (optics); Wafer; Laser scanning; Materials science; Pixel; Frame rate; Computer science; Optoelectronics; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.00005985536,0.0001414346,0.0001333449,0.00007728858,0.00009540134,0.00007634718,0.00005345831,0.00008491392,0.00007737637],"category_scores_gemma":[0.000003356294,0.0001120473,0.00002917864,0.0001801236,0.00002226748,0.0001165874,0.000009651432,0.0001790982,0.0006526252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006678149,"about_ca_system_score_gemma":0.000009390758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003137273,"about_ca_topic_score_gemma":0.000009139817,"domain_scores_codex":[0.9993244,0.000006077366,0.0001611197,0.0001451499,0.0001680942,0.0001951529],"domain_scores_gemma":[0.999655,0.00001798421,0.00002803296,0.0001789726,0.00004341928,0.00007655581],"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":[0.0002431669,0.0002340297,0.001802298,0.0002763001,0.0003803166,0.00002868922,0.0007999044,0.3353909,0.5382933,0.004444483,0.05933176,0.05877482],"study_design_scores_gemma":[0.004156455,0.0004546949,0.003496283,0.0001458782,0.0001048812,0.0001442931,0.001714284,0.2263485,0.7260342,0.0002169533,0.03565452,0.001529048],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9599766,0.000006830392,0.003716615,0.00001691024,0.0004512148,0.0003491573,0.000003922913,0.000547656,0.03493108],"genre_scores_gemma":[0.9990448,0.00001234139,0.0002619871,0.0000225359,0.0003392067,0.00005634103,0.000009021897,0.00004020967,0.000213509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1877409,"threshold_uncertainty_score":0.8388395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005168067574940878,"score_gpt":0.1631808940518698,"score_spread":0.1580128264769289,"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."}}