{"id":"W4378713678","doi":"10.1364/oe.485955","title":"High-availability displacement sensing with multi-channel self mixing interferometry","year":2023,"lang":"en","type":"article","venue":"Optics Express","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Interferometry; Photonics; Optics; Mixing (physics); Computer science; Channel (broadcasting); Nonlinear system; Displacement (psychology); Noise (video); Laser; SIGNAL (programming language); Physics; Telecommunications; Artificial intelligence","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":[0.000338654,0.0003259876,0.0002258746,0.0001881966,0.0001891881,0.0002965228,0.0004521049,0.0004238375,0.0006124031],"category_scores_gemma":[0.0004413183,0.0001785469,0.0001909852,0.000158818,0.0005512593,0.0007600094,0.0006171357,0.0003560857,0.0001069264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003680291,"about_ca_system_score_gemma":0.0001704859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004411095,"about_ca_topic_score_gemma":0.0006061878,"domain_scores_codex":[0.9996015,0.00005822066,0.00001335139,0.00008376902,0.0001985377,0.00004462034],"domain_scores_gemma":[0.9997903,0.00008584907,0.00005450792,0.00002621397,0.00002973246,0.0000135374],"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":[0.0001506137,0.00006282909,0.00130096,0.00006072611,0.00001836011,0.00007961756,0.00006789914,0.007523894,0.9752363,0.002801726,0.0001096592,0.01258737],"study_design_scores_gemma":[0.00001310461,0.0001828747,0.003359943,0.000007143467,0.00001219459,0.0001767689,0.00003065753,0.2345978,0.7597764,0.001125216,0.0006863335,0.00003150908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7967651,0.000430625,0.1992606,0.0001781891,0.00003739615,0.00004148233,0.00005118082,0.0003177249,0.002917553],"genre_scores_gemma":[0.9780704,0.00005173925,0.02143115,0.00001788228,0.00000629403,0.00001591041,0.00001113785,0.000009250927,0.0003861887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006124031,"threshold_uncertainty_score":0.002670228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01768626602511398,"score_gpt":0.2294697549197911,"score_spread":0.2117834888946771,"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."}}