{"id":"W2149378230","doi":"10.1088/0031-9155/56/2/002","title":"Investigating the effect of longitudinal micro-CT imaging on tumour growth in mice","year":2010,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Nuclear medicine; Medicine; Histology; Analysis of variance; Significant difference; Pathology; Internal medicine","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":[0.0004527938,0.0006999235,0.0004125516,0.0004660304,0.0001544171,0.0003506478,0.0003037638,0.0005297508,0.001916342],"category_scores_gemma":[0.0005173617,0.0003418348,0.0004731161,0.0001935988,0.0002959616,0.0004390765,0.0002979829,0.001059256,0.0004843179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003566244,"about_ca_system_score_gemma":0.0002658021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001368963,"about_ca_topic_score_gemma":0.002554687,"domain_scores_codex":[0.9996425,0.0000524963,0.00001675836,0.00007781376,0.0001263695,0.00008405566],"domain_scores_gemma":[0.9991108,0.00026178,0.0003144079,0.00007432234,0.000108403,0.0001303449],"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":[0.0003410205,0.0001166683,0.0005752129,0.00005488039,0.00001013668,0.00004167629,0.00002579527,0.000263543,0.995353,0.00002239498,0.00007634626,0.003119322],"study_design_scores_gemma":[0.00002789202,0.003735511,0.01275679,0.00001848952,0.00006176317,0.0003515812,0.00005316256,0.002496074,0.9787312,0.00003718722,0.001716153,0.00001430028],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725973,0.008229656,0.01466881,0.0002980723,0.0001489277,0.0001447762,0.0009319549,0.0004499315,0.002530522],"genre_scores_gemma":[0.9670409,0.005779069,0.01745967,0.0002593131,0.00008081747,0.0003169417,0.001277443,0.0002610754,0.007524813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001916342,"threshold_uncertainty_score":0.006410837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03292347390781111,"score_gpt":0.3527527898422072,"score_spread":0.3198293159343961,"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."}}