{"id":"W1519920454","doi":"10.1107/s160057751501036x","title":"Design of a mouse restraint for synchrotron-based computed tomography imaging","year":2015,"lang":"en","type":"article","venue":"Journal of Synchrotron Radiation","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"National Research Council Canada; Western Economic Diversification Canada; Saskatchewan Health Research Foundation; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; University of Saskatchewan; Canadian Light Source","keywords":"Synchrotron; Computed tomography; Tomography; Synchrotron radiation; Physics; Nuclear medicine; Nuclear magnetic resonance; Materials science; Medicine; Optics; Radiology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001394762,0.0008975776,0.0005170292,0.0007793104,0.0003680993,0.0005476666,0.001792669,0.0008886936,0.002284961],"category_scores_gemma":[0.001140872,0.0007591897,0.0006899129,0.0002845079,0.0004605945,0.0004973377,0.0008130241,0.0008089977,0.001345688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003265086,"about_ca_system_score_gemma":0.001198384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004654524,"about_ca_topic_score_gemma":0.001003241,"domain_scores_codex":[0.9993479,0.00006941416,0.00009168632,0.0001275352,0.0002828615,0.00008061581],"domain_scores_gemma":[0.9984101,0.0002125203,0.0003867027,0.0003314701,0.0003442582,0.0003149377],"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":[0.0003290365,0.0001738369,0.001210563,0.0002022398,0.00002293858,0.0003589134,0.0001078538,0.001551536,0.9797483,0.001174601,0.0008153635,0.01430488],"study_design_scores_gemma":[0.000260449,0.004016135,0.009932554,0.000104365,0.0001874084,0.002188263,0.00007988707,0.01543238,0.9130581,0.0004646869,0.05414539,0.000130359],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1804132,0.000612285,0.8082368,0.0004243857,0.000374348,0.002724393,0.0009633577,0.002923341,0.003327795],"genre_scores_gemma":[0.2483494,0.001048231,0.73823,0.0003497991,0.00006669338,0.003450691,0.0007897299,0.0004444301,0.007271008],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002284961,"threshold_uncertainty_score":0.007643998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03720855315096002,"score_gpt":0.3179270197428417,"score_spread":0.2807184665918817,"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."}}