{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001523105,0.0003951774,0.0003123444,0.0005417998,0.0001743175,0.0007438635,0.0006364514,0.0004248061,0.001244617],"category_scores_gemma":[0.004562589,0.0004921976,0.0002301058,0.0003963856,0.0002973257,0.0002918007,0.000395192,0.000603391,0.0003703921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002503576,"about_ca_system_score_gemma":0.0006385171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007520466,"about_ca_topic_score_gemma":0.001603805,"domain_scores_codex":[0.9994288,0.000227078,0.00003933876,0.00005554303,0.0002272938,0.00002196042],"domain_scores_gemma":[0.9983433,0.001067915,0.0001740442,0.000153084,0.0002146816,0.00004691495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001067364,0.0001712522,0.006051594,0.0004844733,0.00009354229,0.0003883037,0.0003296286,0.03253679,0.5139671,0.004484623,0.003654819,0.4367705],"study_design_scores_gemma":[0.000222683,0.0009511297,0.01670164,0.0001707713,0.0001179018,0.002230047,0.00007966871,0.6475984,0.2995191,0.003505788,0.02868527,0.0002176436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02608633,0.0005436001,0.9702147,0.00008896449,0.00006343857,0.0001476135,0.00007306555,0.001953681,0.0008286912],"genre_scores_gemma":[0.3237256,0.001023272,0.6714882,0.0002113452,0.00006170201,0.0005238592,0.0003428175,0.001170533,0.001452654],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001523105,"threshold_uncertainty_score":0.008055031,"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."}}