{"id":"W2000894802","doi":"10.1118/1.2244644","title":"Po‐Thur Eve General‐17: Design and Characterization of a CT Scanner for Small Animal Imaging","year":2006,"lang":"en","type":"article","venue":"Medical Physics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Juravinski Cancer Centre","funders":"","keywords":"Scanner; Detector; Imaging phantom; Optics; Flat panel detector; Physics; X-ray detector; Projection (relational algebra); Pixel; Polynomial; Beam (structure); Medical imaging; Nuclear medicine; Computer science; Artificial intelligence; Mathematics; Algorithm; 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":[0.000805849,0.0004468194,0.0003825453,0.0004865215,0.0002496956,0.0004633057,0.001167312,0.0005603023,0.005564173],"category_scores_gemma":[0.0009520557,0.000455579,0.000223906,0.0002435148,0.0004795924,0.0004770599,0.000326574,0.000358972,0.00137384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004197111,"about_ca_system_score_gemma":0.001220217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006605064,"about_ca_topic_score_gemma":0.000957247,"domain_scores_codex":[0.9997277,0.00002728961,0.000009619361,0.00005981818,0.0001461613,0.00002942191],"domain_scores_gemma":[0.9992718,0.0001765676,0.00008507715,0.00009694439,0.0002435992,0.0001260274],"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":[0.0005243481,0.000114853,0.003171025,0.0003126912,0.00002196398,0.0003999908,0.0001272093,0.0032651,0.9353795,0.001699079,0.00219891,0.05278537],"study_design_scores_gemma":[0.0002112081,0.004306098,0.02101795,0.00005782148,0.0001167749,0.003811154,0.00006389844,0.0418879,0.8587676,0.0005749867,0.06907911,0.0001054874],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3920862,0.0005304493,0.5909935,0.0003218004,0.00009110279,0.001959768,0.001131095,0.003877951,0.009008153],"genre_scores_gemma":[0.4662518,0.0005213385,0.5041442,0.0002458891,0.00004159683,0.001097927,0.001716949,0.0006120893,0.02536827],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005564173,"threshold_uncertainty_score":0.01861405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02463263446048408,"score_gpt":0.290115211936711,"score_spread":0.2654825774762269,"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."}}