{"id":"W2034091230","doi":"10.1118/1.2031023","title":"Sci‐YIS Fri ‐ 01: A protocol for the validation of non‐linear image registration systems","year":2005,"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":"Alberta Cancer Foundation","funders":"","keywords":"Image registration; Computer science; Computer vision; Protocol (science); Artificial intelligence; Imaging phantom; Medical imaging; Process (computing); Image (mathematics); Medicine; Nuclear 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":[0.03465031,0.002374898,0.001795545,0.00492114,0.003111852,0.00172639,0.004502379,0.003044318,0.02063427],"category_scores_gemma":[0.03378309,0.001984786,0.001481832,0.002575346,0.002407278,0.001248235,0.002983189,0.003092187,0.01371614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001885118,"about_ca_system_score_gemma":0.006555834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001445707,"about_ca_topic_score_gemma":0.002194007,"domain_scores_codex":[0.9847116,0.005803183,0.002532269,0.001168734,0.005184524,0.000599706],"domain_scores_gemma":[0.9587753,0.006624599,0.001697241,0.01643228,0.01570285,0.0007677149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01021496,0.004810544,0.005087915,0.003958748,0.0004073095,0.001456564,0.00306258,0.01919554,0.594579,0.01671427,0.08171984,0.2587927],"study_design_scores_gemma":[0.001983799,0.009027309,0.01427727,0.0008357622,0.0003063527,0.002597565,0.0004739123,0.02524785,0.5685271,0.004607894,0.37137,0.0007450507],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.05616915,0.0007151929,0.7696019,0.0005276993,0.0006497266,0.1250708,0.01295719,0.01858659,0.01572182],"genre_scores_gemma":[0.03291679,0.0005510663,0.7349234,0.0003086595,0.00009647366,0.1930957,0.02349644,0.003263103,0.01134832],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.03465031,"threshold_uncertainty_score":0.1832505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01956163065073108,"score_gpt":0.3524117731607359,"score_spread":0.3328501425100048,"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."}}