{"id":"W2975529812","doi":"10.5220/0008985100690074","title":"Fast Fourier Transform based Force Histogram Computation for 3D Raster Data","year":2020,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Histogram; Computer science; Computation; Fourier transform; Raster graphics; Raster data; Artificial intelligence; Computer vision; Computer graphics (images); Fast Fourier transform; Algorithm; Mathematics; Image (mathematics)","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":[0.0002750771,0.000338371,0.0003732241,0.001475337,0.0003688963,0.0007939284,0.0006879508,0.0004054273,0.008032196],"category_scores_gemma":[0.001863698,0.0002238001,0.0003759251,0.001411741,0.000258204,0.00126324,0.0005256785,0.0004679514,0.001743629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004058004,"about_ca_system_score_gemma":0.0007572403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00361952,"about_ca_topic_score_gemma":0.003410329,"domain_scores_codex":[0.9997461,0.00001823227,0.00001203856,0.00002767054,0.0001686482,0.00002727542],"domain_scores_gemma":[0.9994092,0.0002194842,0.00006109456,0.00008402763,0.0002030534,0.00002316349],"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":[0.0002470729,0.0001355025,0.003947,0.0003362467,0.00005522967,0.000309804,0.000307411,0.06906378,0.1213393,0.02072762,0.009108004,0.7744231],"study_design_scores_gemma":[0.00002231955,0.00007437431,0.004170368,0.00002546344,0.00001443218,0.0005892665,0.0001755271,0.9070084,0.06963849,0.008134379,0.01008281,0.00006418674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02818581,0.000105653,0.9663431,0.0001024411,0.000040606,0.00007494973,0.0004455826,0.002324088,0.002377741],"genre_scores_gemma":[0.2288853,0.0003408996,0.7656988,0.00005696688,0.00003535505,0.000163042,0.00138927,0.0004095141,0.003020943],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008032196,"threshold_uncertainty_score":0.02687037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05192342325004875,"score_gpt":0.2753419298425343,"score_spread":0.2234185065924855,"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."}}