{"id":"W2326320862","doi":"10.2310/7290.2015.00022","title":"Emerging Applications for Optically Enabled Intravital Microscopic Imaging in Radiobiology","year":2015,"lang":"en","type":"article","venue":"Molecular Imaging","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"China Scholarship Council","keywords":"Radiobiology; Radiation therapy; Intravital microscopy; Stromal cell; Tumor microenvironment; Molecular imaging; In vivo; Medicine; Pathology; Medical physics; Cancer research; Biology; Tumor cells; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002945389,0.000223026,0.0002411063,0.0001995716,0.00005603231,0.00007568975,0.0002355342,0.00003772643,0.000006954797],"category_scores_gemma":[0.00008525232,0.0002597715,0.0000678791,0.0002331582,0.0000731759,0.0001648699,0.00004530657,0.0002033301,0.0000143496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000208447,"about_ca_system_score_gemma":0.00006923428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000219273,"about_ca_topic_score_gemma":0.000002408935,"domain_scores_codex":[0.9985947,0.00002425792,0.0003241776,0.0003190376,0.000103144,0.0006346692],"domain_scores_gemma":[0.9994296,0.0000631975,0.00003106533,0.0002628168,0.00007008947,0.0001431991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001371492,0.00004810563,0.007795775,0.0001177394,0.00003380219,0.0001080106,0.0007027177,0.0205618,0.9460076,0.0008441302,0.0009636761,0.02280292],"study_design_scores_gemma":[0.004915533,0.00002600684,0.001039217,0.0001773503,0.0001233087,0.0003760171,0.002047247,0.8222639,0.1328878,0.005921079,0.02878514,0.001437353],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07340937,0.002319337,0.9201442,0.0003676662,0.0003011207,0.0006278608,0.00001379142,0.000299534,0.002517142],"genre_scores_gemma":[0.9733771,0.000009585921,0.02578334,0.000315989,0.00008042358,0.000302958,0.00004186859,0.00007228802,0.0000164525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8999677,"threshold_uncertainty_score":0.9999855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004424465388138387,"score_gpt":0.2302792492351605,"score_spread":0.2258547838470221,"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."}}