{"id":"W4318148631","doi":"10.1117/12.2649648","title":"LED based systems for remote sensing of liquid levels in automotive fluid tanks","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Imperial Oil (Canada); Northern Alberta Institute of Technology","funders":"","keywords":"Software deployment; Automotive industry; Footprint; Light-emitting diode; Ray tracing (physics); Working fluid; Tracing; Computer science; Automotive engineering; Engineering; Mechanical engineering; Optics; Electrical engineering; Physics; Aerospace engineering; Geology","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":[0.0001768217,0.0002654471,0.0002241115,0.0002217597,0.0002010563,0.0003139751,0.0006280293,0.0003661254,0.001472255],"category_scores_gemma":[0.0002837318,0.0001452297,0.0001651322,0.0001985621,0.0001374585,0.0003941379,0.0003568282,0.0002205435,0.000497413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002763575,"about_ca_system_score_gemma":0.0002821293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004772832,"about_ca_topic_score_gemma":0.0009402982,"domain_scores_codex":[0.9998314,0.00002287741,0.000004835668,0.00002546718,0.0001028496,0.0000124445],"domain_scores_gemma":[0.9998773,0.0000385132,0.00002041953,0.00001369231,0.00004241218,0.000007585905],"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":[0.0001322259,0.0001019853,0.002071025,0.0002189581,0.00001447668,0.0001284617,0.0001158659,0.008615354,0.9391944,0.0005922415,0.0008177517,0.04799731],"study_design_scores_gemma":[0.00002442185,0.0004276015,0.003407099,0.00001834747,0.0000224898,0.0001731834,0.00007645565,0.09062763,0.8969075,0.0003276848,0.007952356,0.00003537363],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5577677,0.001006508,0.4281288,0.0002166186,0.000126349,0.0001759878,0.0004537904,0.005270283,0.006853878],"genre_scores_gemma":[0.9202472,0.0003547241,0.0735126,0.00009662149,0.00001320649,0.0001113074,0.0001526872,0.00005918374,0.005452593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001472255,"threshold_uncertainty_score":0.004925191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02677640054676598,"score_gpt":0.2602748941885664,"score_spread":0.2334984936418004,"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."}}