{"id":"W2092580443","doi":"10.48550/arxiv.1308.6205","title":"Smooth affine shear tight frames with MRA structure","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Mathematical Analysis and Transform Methods","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Affine transformation; Shearlet; Mathematics; Wavelet; Affine combination; Multiresolution analysis; Computer science; Wavelet transform; Algorithm; Pure mathematics; Artificial intelligence; Discrete wavelet transform","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002522054,0.0005503012,0.0009379638,0.0002182318,0.0001366677,0.0001061112,0.0007153552,0.0005237549,0.004268317],"category_scores_gemma":[0.00008051065,0.0004119808,0.0003651123,0.0004353455,0.0001908181,0.0001517803,0.0003330793,0.0009656258,0.00007796011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009277518,"about_ca_system_score_gemma":0.00009849327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001110383,"about_ca_topic_score_gemma":0.0001004103,"domain_scores_codex":[0.9979703,0.0001738915,0.000348338,0.0008832469,0.0001914713,0.0004327579],"domain_scores_gemma":[0.9976812,0.0003802263,0.0002982606,0.001183801,0.0002093291,0.0002472003],"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":[0.00007260054,0.0002863517,0.0005958091,0.001313378,0.001046336,0.0001675243,0.0004051184,0.005709328,0.00005084222,0.9884025,0.0008790105,0.001071153],"study_design_scores_gemma":[0.0005565077,0.00007461302,0.0002067033,0.0002949249,0.001177117,0.000005431911,0.0001200323,0.03241803,0.0003394436,0.9619178,0.002212228,0.0006772337],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.628473,0.00004999696,0.3544548,0.0001795181,0.0001185696,0.0006379299,0.00007075537,0.0002351124,0.0157802],"genre_scores_gemma":[0.9382721,0.00006845348,0.05416697,0.00005596813,0.0001176588,0.00000215031,0.00003060029,0.00006775172,0.007218401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.309799,"threshold_uncertainty_score":0.9998332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08410214946115717,"score_gpt":0.227389242520202,"score_spread":0.1432870930590448,"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."}}