{"id":"W2896760709","doi":"10.2351/1.5061467","title":"Smart tools with embedded optical fiber sensors: Laser based layered manufacturing procedures","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Fiber Bragg grating; Machining; Fabrication; Optical fiber; Laser; Fiber laser; Process (computing); Fiber optic sensor; Fiber; Grating; Computer science; Optics; Optoelectronics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000230627,0.0004079047,0.0002464259,0.0004085614,0.0001210081,0.0003886327,0.0007959214,0.0005653606,0.0005350146],"category_scores_gemma":[0.0004511969,0.0003035852,0.0002584856,0.0002225069,0.0004430032,0.0009065903,0.0006038026,0.0003727898,0.0004042949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002621526,"about_ca_system_score_gemma":0.0002036218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001837224,"about_ca_topic_score_gemma":0.0004349697,"domain_scores_codex":[0.9995846,0.00003022806,0.00002499435,0.00006257388,0.0002682187,0.00002939182],"domain_scores_gemma":[0.9995735,0.0000923433,0.0001819025,0.00008415701,0.00004673063,0.00002135061],"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":[0.00002914711,0.00002886212,0.0002707611,0.0001058184,0.00001119831,0.00007895807,0.00003665677,0.001288569,0.9755304,0.001364077,0.0001083673,0.02114714],"study_design_scores_gemma":[0.00001106319,0.0002327494,0.000695019,0.00001307773,0.00001911835,0.0004259784,0.00001495605,0.01591649,0.9773688,0.0004143959,0.004856528,0.00003185166],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3922724,0.003368013,0.5968447,0.0002241417,0.0001444506,0.0001461584,0.0001526757,0.001463801,0.005383658],"genre_scores_gemma":[0.5531331,0.0009810802,0.4433439,0.0001152369,0.00003354626,0.00008511648,0.00006969514,0.00003955854,0.002198659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007959214,"threshold_uncertainty_score":0.001902103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00784724414413727,"score_gpt":0.2170310018061158,"score_spread":0.2091837576619785,"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."}}