{"id":"W2104956252","doi":"10.1109/icip.2006.312765","title":"Image Based Temporal Registration of MRI Data for Medical Visualization","year":2006,"lang":"en","type":"article","venue":"","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Image registration; Computer science; Visualization; Computer vision; Artificial intelligence; Medical imaging; Data visualization; Image (mathematics); Computer graphics (images)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007139061,0.0000496534,0.00009518232,0.0000653703,0.00004283977,0.00006935195,0.0005523487,0.00004613188,0.00004411838],"category_scores_gemma":[0.0001543782,0.00004173907,0.00003172245,0.0002760928,0.00002150103,0.000545815,0.00006801099,0.00001646649,0.000001799374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007905961,"about_ca_system_score_gemma":0.0001177687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003021103,"about_ca_topic_score_gemma":0.0005038375,"domain_scores_codex":[0.998973,0.00003654605,0.0003211029,0.0002317106,0.0003628129,0.00007486962],"domain_scores_gemma":[0.9990805,0.00005859566,0.0001303584,0.0005621915,0.000141229,0.00002707494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001719826,0.0004168499,0.00852029,0.00009561095,0.00002311383,0.00000305487,0.0000273298,0.000848498,0.0035711,0.8115011,0.1653401,0.009635738],"study_design_scores_gemma":[0.0002299996,0.00002434812,0.0006404435,0.000006357156,0.000006975756,2.809279e-7,0.000002628936,0.9924459,0.001368772,0.001627001,0.003596493,0.00005081499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002179248,0.000008581022,0.9962173,0.001718675,0.00004341063,0.00009459682,0.000008612234,0.00004464494,0.001646285],"genre_scores_gemma":[0.6679516,0.000002827732,0.3288769,0.0002860428,0.000103875,0.000006540546,0.002294072,0.00000599256,0.0004722278],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9915974,"threshold_uncertainty_score":0.170207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02266841528386277,"score_gpt":0.307340852993684,"score_spread":0.2846724377098213,"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."}}