{"id":"W4251122878","doi":"10.32920/ryerson.14654985","title":"Adaptive vector greedy splitting algorithm","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Orthonormal basis; Haar wavelet; Greedy algorithm; Computer science; Algorithm; Greedy randomized adaptive search procedure; Digital signal processing; MATLAB; Wavelet; SIGNAL (programming language); Wavelet transform; Discrete wavelet transform; 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":[0.0008492489,0.0007115816,0.000995293,0.0009965716,0.0004883168,0.001228206,0.001671394,0.001220405,0.007910184],"category_scores_gemma":[0.001946556,0.0004019515,0.0006866084,0.001157372,0.0009388939,0.001536834,0.001783161,0.001584978,0.003104809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005058448,"about_ca_system_score_gemma":0.001112988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001309621,"about_ca_topic_score_gemma":0.001023181,"domain_scores_codex":[0.9990119,0.0002161391,0.00005622577,0.0001699574,0.0004282225,0.0001175149],"domain_scores_gemma":[0.9993067,0.0001797862,0.00004680351,0.0001291591,0.0002801823,0.00005741852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003043312,0.0001267457,0.0008567779,0.0001342887,0.00009065311,0.0001931262,0.0001366523,0.2049662,0.02318042,0.1191304,0.01330235,0.6375781],"study_design_scores_gemma":[0.00005560865,0.00009462897,0.0001942823,0.00001655478,0.00001829208,0.0002004469,0.00003030633,0.9326982,0.00611317,0.04445911,0.01609288,0.00002663147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002183414,0.000111924,0.9955793,0.00007829257,0.00006980966,0.00003683513,0.0000413076,0.0002714479,0.00162771],"genre_scores_gemma":[0.08522891,0.0003098502,0.9034846,0.0002683126,0.0001309557,0.0002188169,0.0004618115,0.0003355085,0.009561176],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007910184,"threshold_uncertainty_score":0.02646226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02953264159705101,"score_gpt":0.2874956060658719,"score_spread":0.2579629644688209,"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."}}