{"id":"W1986653844","doi":"10.1118/1.2905031","title":"Software‐based respiratory gating for small animal conebeam CT","year":2008,"lang":"en","type":"article","venue":"Medical Physics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences","funders":"McMaster University","keywords":"Projection (relational algebra); Image quality; Imaging phantom; Computer science; Breathing; Image resolution; Image registration; SIGNAL (programming language); Iterative reconstruction; Respiratory monitoring; Computer vision; Respiratory system; Nuclear medicine; Artificial intelligence; Biomedical engineering; Medicine; Image (mathematics); Algorithm; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003226297,0.0001441261,0.0003002693,0.00002617462,0.0001734521,0.000006101236,0.0001633606,0.00007624133,0.0001373939],"category_scores_gemma":[0.00132428,0.0001219905,0.0001444776,0.0001675019,0.0003734202,0.00002708428,0.00004279741,0.0003692482,0.00002913515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000042056,"about_ca_system_score_gemma":0.0004791957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001492409,"about_ca_topic_score_gemma":7.178921e-7,"domain_scores_codex":[0.9985566,0.00002021484,0.0003086157,0.0002881784,0.0005215759,0.0003048434],"domain_scores_gemma":[0.9986388,0.0003599183,0.00008023858,0.0003358431,0.0001237171,0.0004614627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004602359,0.004155686,0.05058122,0.00152273,0.0002006609,0.0006570428,0.0003249117,0.000006028489,0.02719146,0.009124991,0.6200244,0.2857506],"study_design_scores_gemma":[0.0118951,0.002373233,0.008165876,0.001452199,0.0003883494,0.0003307841,0.00003888247,0.02816907,0.2849666,0.008172103,0.6527882,0.001259614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2477791,0.00008641415,0.7414777,0.008117562,0.00008297814,0.0008362904,0.00001925586,0.0006561962,0.0009445125],"genre_scores_gemma":[0.9063514,0.00001195861,0.07297737,0.0187707,0.001219809,0.0003377758,0.00008899336,0.00005441427,0.0001875697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6685003,"threshold_uncertainty_score":0.4974627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08808041429359592,"score_gpt":0.3454235247144891,"score_spread":0.2573431104208932,"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."}}