{"id":"W2050583110","doi":"10.1118/1.2126567","title":"A novel method for automatic detection of patient out‐of‐plane rotation by comparing a single portal image to a reference image","year":2005,"lang":"en","type":"article","venue":"Medical Physics","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; McGill University; CancerCare Manitoba; Montreal General Hospital","funders":"","keywords":"Rotation (mathematics); Image plane; Distortion (music); Scaling; Translation (biology); Fourier transform; Magnification; Plane (geometry); Computer vision; Angle of rotation; Artificial intelligence; Perpendicular; Mathematics; Image processing; Image (mathematics); Computer science; Geometry; Mathematical analysis","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":[0.0007429247,0.0007626975,0.0007952342,0.001959299,0.0003397381,0.001004946,0.00117573,0.0009907396,0.003833793],"category_scores_gemma":[0.002023494,0.000534624,0.0005147693,0.001031924,0.0004464015,0.000882318,0.0008511121,0.001032845,0.001970527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003195842,"about_ca_system_score_gemma":0.0008030495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007160055,"about_ca_topic_score_gemma":0.001187529,"domain_scores_codex":[0.9991962,0.00009975184,0.00004429425,0.0002029863,0.0003968878,0.00005987922],"domain_scores_gemma":[0.9989254,0.0002609417,0.000166264,0.0001891564,0.0003970934,0.00006110677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003404209,0.00008420186,0.001483488,0.0003391881,0.0000868072,0.0003495087,0.0001160838,0.001721457,0.3643135,0.001626592,0.00378043,0.6257584],"study_design_scores_gemma":[0.0001944544,0.0009961207,0.02471071,0.0001465176,0.0003247143,0.01214616,0.0002325012,0.2542764,0.6554034,0.002967336,0.0482413,0.0003603313],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01443848,0.000478851,0.9807342,0.000093512,0.00009952487,0.0001379732,0.0001536119,0.0027234,0.001140458],"genre_scores_gemma":[0.08627407,0.000454934,0.9105122,0.00008552065,0.00009142692,0.000188958,0.0003338102,0.0003008754,0.00175827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003833793,"threshold_uncertainty_score":0.01282537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03018329769770589,"score_gpt":0.3273443366432776,"score_spread":0.2971610389455717,"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."}}