{"id":"W4382395072","doi":"10.18280/ts.400312","title":"Enhanced Frequency Measurement via Lissajous Figure Flipping Periods: A High Precision Approach","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced Electrical Measurement Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lissajous curve; Computer science; Algorithm; Mathematics; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001226848,0.0007413565,0.0004125045,0.001377082,0.0003121176,0.001006713,0.001045067,0.0008329668,0.003199089],"category_scores_gemma":[0.003878861,0.0003518156,0.0002669778,0.001327696,0.0006948141,0.001614174,0.0007301234,0.0007455344,0.00123042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000480441,"about_ca_system_score_gemma":0.0005211395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003324052,"about_ca_topic_score_gemma":0.0006821189,"domain_scores_codex":[0.9986795,0.0002508207,0.00006845694,0.0002567149,0.0006783788,0.0000662024],"domain_scores_gemma":[0.9977534,0.0006731672,0.0004913381,0.0004483782,0.0005684056,0.0000652034],"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":[0.0004725195,0.0001113423,0.001929335,0.0006065958,0.00003681581,0.0003108582,0.0004556915,0.005605839,0.619027,0.01512781,0.002088376,0.3542278],"study_design_scores_gemma":[0.00005872034,0.001001877,0.003770857,0.0001294976,0.00007783026,0.001792623,0.0001748744,0.06433421,0.8773087,0.006057509,0.04512124,0.0001722239],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04799556,0.001157622,0.9413788,0.0003321699,0.0003579148,0.0001245912,0.0001226394,0.001626185,0.006904399],"genre_scores_gemma":[0.3883547,0.0009525382,0.6067008,0.0002185169,0.0001814638,0.0001328838,0.0001257672,0.0002124285,0.003120905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003199089,"threshold_uncertainty_score":0.01070207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02491899626625387,"score_gpt":0.2240603180071175,"score_spread":0.1991413217408636,"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."}}