{"id":"W2912147078","doi":"10.3390/cancers11020170","title":"Integrating Small Animal Irradiators with Functional Imaging for Advanced Preclinical Radiotherapy Research","year":2019,"lang":"en","type":"review","venue":"Cancers","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast; National Centre for the Replacement, Refinement and Reduction of Animals in Research","keywords":"Preclinical research; Translational research; Medical physics; Radiation therapy; Medicine; Molecular imaging; Animal model; Radiation oncology; In vivo; Pathology; Radiology; Biology; Internal medicine; Biotechnology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001580333,0.0009554537,0.00133689,0.003494734,0.0002546303,0.001646366,0.001034906,0.001804194,0.003448866],"category_scores_gemma":[0.001311706,0.0004280062,0.000728005,0.002099009,0.00101767,0.002171075,0.000936733,0.002670523,0.002103444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008708913,"about_ca_system_score_gemma":0.001151115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000675358,"about_ca_topic_score_gemma":0.001091535,"domain_scores_codex":[0.9995739,0.0001003954,0.0000379378,0.00006554564,0.0001905968,0.00003160278],"domain_scores_gemma":[0.9989519,0.000705278,0.0001041453,0.00003732995,0.0001616868,0.00003948766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007002571,0.0001416736,0.0002836441,0.02674441,0.0001121806,0.0003098064,0.000110311,0.0009801106,0.02060598,0.01684718,0.0172919,0.9165028],"study_design_scores_gemma":[0.00001197416,0.0001765705,0.0005811546,0.002943878,0.0001076309,0.00166962,0.00006501888,0.0002470182,0.005131851,0.004131224,0.9848967,0.00003737454],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002003524,0.9952141,0.001689984,0.0002965739,0.0002126158,0.0000170629,0.00002305271,0.00002416862,0.002321944],"genre_scores_gemma":[0.001292669,0.9955741,0.001883035,0.0002418939,0.0001802628,0.00002453399,0.00003831229,0.000006160651,0.0007589379],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003494734,"threshold_uncertainty_score":0.01153761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2517004284301954,"score_gpt":0.5090964836558147,"score_spread":0.2573960552256194,"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."}}