{"id":"W2031550407","doi":"10.1109/iembs.2010.5627135","title":"A new representation of intensity atlas for GPU-accelerated instance generation","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Queen's University","funders":"","keywords":"Atlas (anatomy); Computer science; Spline (mechanical); Graphics processing unit; Voxel; Computation; Graphics; Computational science; B-spline; Computer graphics (images); Artificial intelligence; General-purpose computing on graphics processing units; Algorithm; Computer vision; Parallel computing; 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":[0.0006455579,0.0005376691,0.0007469901,0.0011665,0.000362372,0.002001539,0.002168642,0.0007610712,0.005303279],"category_scores_gemma":[0.002738819,0.0005025038,0.000892574,0.001873311,0.0004413634,0.001775451,0.001611817,0.00160718,0.002435413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006663224,"about_ca_system_score_gemma":0.001005639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002238985,"about_ca_topic_score_gemma":0.002301158,"domain_scores_codex":[0.999498,0.00006939117,0.00004248813,0.00007956891,0.000265752,0.00004478774],"domain_scores_gemma":[0.9993725,0.0001181769,0.00003896334,0.0002186855,0.0001961442,0.00005555755],"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":[0.0003322976,0.0001031622,0.001765774,0.0002244976,0.00008703678,0.00032023,0.0003586375,0.2158589,0.06303005,0.09733844,0.02863117,0.5919498],"study_design_scores_gemma":[0.0000326548,0.0000424952,0.000428413,0.00001396002,0.0000173722,0.000288164,0.0000327772,0.92702,0.02127896,0.0169402,0.03386108,0.00004389259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001738774,0.0000363906,0.9949497,0.00004535025,0.00002913483,0.00003036755,0.0001535363,0.002059509,0.0009573274],"genre_scores_gemma":[0.03949113,0.0001253895,0.9570258,0.00004653529,0.00003178286,0.0001338565,0.0007485896,0.0007305514,0.001666274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005303279,"threshold_uncertainty_score":0.01774126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06161662543730827,"score_gpt":0.3413722082415064,"score_spread":0.2797555828041981,"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."}}