{"id":"W2101832840","doi":"10.1109/isot.2010.5687305","title":"Inline coherent imaging of laser micromachining","year":2010,"lang":"en","type":"article","venue":"","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Surface micromachining; Machining; Optics; Laser; Materials science; Laser beam machining; Optical coherence tomography; Laser ablation; Coherence (philosophical gambling strategy); Metrology; Optoelectronics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003716312,0.0005682492,0.0002874227,0.0009562352,0.0003257872,0.0009005882,0.000560308,0.0007438354,0.005213286],"category_scores_gemma":[0.00112089,0.0004004927,0.0001842237,0.0008118802,0.0005464824,0.001415917,0.001066606,0.0006414864,0.001092906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008770595,"about_ca_system_score_gemma":0.0006253563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006537159,"about_ca_topic_score_gemma":0.001430157,"domain_scores_codex":[0.9994301,0.000094123,0.00002513457,0.0001431916,0.0002367211,0.00007068794],"domain_scores_gemma":[0.999208,0.0001922386,0.0002184238,0.00009140068,0.0002341418,0.00005571064],"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":[0.0001413685,0.0000587666,0.001000423,0.0001945695,0.00002599238,0.0001491873,0.0002461929,0.001807755,0.9391978,0.006402894,0.001286483,0.0494885],"study_design_scores_gemma":[0.00009618389,0.0003435237,0.006401497,0.00007644017,0.00005104081,0.0007529316,0.0001346407,0.07218746,0.8987344,0.005077345,0.01605054,0.00009399433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3237796,0.005702448,0.6352166,0.0009414838,0.0002768846,0.0001799575,0.0008774497,0.001799052,0.03122652],"genre_scores_gemma":[0.5645334,0.002017166,0.4218333,0.0004660985,0.0001699765,0.0002094138,0.0006018835,0.000340213,0.009828631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005213286,"threshold_uncertainty_score":0.0174402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004727712359277161,"score_gpt":0.2198059161461238,"score_spread":0.2150782037868466,"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."}}