{"id":"W2055184631","doi":"10.1118/1.3476138","title":"Poster — Thur Eve — 33: A Dose‐Based Metric for Evaluation of Image Registration Accuracy","year":2010,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Image warping; Image registration; Landmark; Imaging phantom; Artificial intelligence; Computer vision; Computer science; Metric (unit); Mathematics; Image (mathematics); Pattern recognition (psychology); Nuclear medicine; Medicine","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":[0.00881545,0.001159106,0.001143108,0.004891813,0.0006939241,0.002742199,0.001337088,0.001775219,0.004962118],"category_scores_gemma":[0.03504655,0.0005242195,0.001344186,0.002500212,0.001271499,0.002530683,0.002382344,0.00124425,0.001714851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001276396,"about_ca_system_score_gemma":0.0006802162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001051244,"about_ca_topic_score_gemma":0.0008157895,"domain_scores_codex":[0.9889494,0.003211255,0.001119015,0.000786232,0.005624584,0.0003094597],"domain_scores_gemma":[0.9797277,0.009358595,0.002702499,0.004104463,0.003808605,0.0002982061],"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":[0.002846487,0.0004246278,0.03650377,0.001385945,0.001552448,0.0003953509,0.0006842214,0.1917677,0.130222,0.02435667,0.01293558,0.5969252],"study_design_scores_gemma":[0.0002307388,0.003549127,0.1115721,0.0003283654,0.0005311851,0.00426018,0.0003326485,0.5299135,0.2757926,0.02005223,0.05269565,0.0007417364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1259359,0.003483041,0.8453943,0.000547883,0.0004571478,0.0008875565,0.002014145,0.005345866,0.01593415],"genre_scores_gemma":[0.6537462,0.0007926574,0.3338034,0.000208113,0.0001328368,0.0006670417,0.002512095,0.002337357,0.005800169],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00881545,"threshold_uncertainty_score":0.04662114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02506682471792984,"score_gpt":0.3679272898191818,"score_spread":0.342860465101252,"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."}}