{"id":"W4401435071","doi":"10.2139/ssrn.4919679","title":"The Matrix Pencil as a Tunable Filter","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Scientific Research and Discoveries","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Fredericton; University of New Brunswick","funders":"","keywords":"Pencil (optics); Matrix pencil; Matrix (chemical analysis); Mathematics; Computer science; Materials science; Physics; Optics; 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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002556933,0.0002574296,0.0002107191,0.00009459974,0.0006693762,0.00211444,0.0009377484,0.0000729662,0.0007932408],"category_scores_gemma":[0.00003620055,0.0001573995,0.0004117628,0.0001606888,0.0001375638,0.0001080686,0.0009540715,0.005998994,0.001189018],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005056251,"about_ca_system_score_gemma":0.01295526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006977353,"about_ca_topic_score_gemma":0.0002159302,"domain_scores_codex":[0.9956044,0.000106783,0.0003219529,0.0003862557,0.0006774316,0.002903158],"domain_scores_gemma":[0.999,0.0000850166,0.000148206,0.0004754783,0.0001393558,0.0001520093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006901306,0.00004742258,0.0003382748,0.000026265,0.0006896836,0.000009836269,0.0002579442,0.0001238993,0.00009907561,0.9476842,0.03111371,0.0195407],"study_design_scores_gemma":[0.0001413787,0.00006191384,0.00001193398,0.0000503369,0.00004281495,0.00003780615,0.003353589,0.0001576418,0.0001931913,0.9573172,0.03845375,0.0001783912],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5748703,0.07298663,0.007420338,0.0153242,0.008463548,0.001419182,0.0002455833,0.0001595181,0.3191107],"genre_scores_gemma":[0.7927689,0.0011392,0.00001948881,0.00001563999,0.001528963,0.0000472776,0.00002474266,0.00003347838,0.2044223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2178986,"threshold_uncertainty_score":0.9995887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01073196966408962,"score_gpt":0.2992796367134192,"score_spread":0.2885476670493296,"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."}}