{"id":"W1519640682","doi":"10.1002/mrm.24790","title":"Cellular imaging and texture analysis distinguish differences in cellular dynamics in mouse brain tumors","year":2013,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; SickKids Foundation; Toronto Centre for Phenogenomics; Hospital for Sick Children","funders":"","keywords":"Glioma; Pathology; Brain tumor; Cell; Phenotype; Population; Distribution (mathematics); Cancer research; Tumor microenvironment; Tumor cells; Biology; 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":[0.0002043366,0.0004003979,0.0002018621,0.001042745,0.00009812513,0.0003177604,0.0001412847,0.0003377322,0.0005938372],"category_scores_gemma":[0.0002211175,0.0002157724,0.0002134408,0.0002443702,0.0002484387,0.0002463157,0.0001482054,0.0003394341,0.0001933875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002333444,"about_ca_system_score_gemma":0.000130283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009007616,"about_ca_topic_score_gemma":0.001077089,"domain_scores_codex":[0.9998944,0.00001212796,0.000004700489,0.00002486456,0.00003881544,0.00002508148],"domain_scores_gemma":[0.9998324,0.00002728071,0.00007216151,0.00001304937,0.00002692008,0.00002821388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00009998252,0.00001874585,0.001095648,0.00002024789,0.00000474376,0.00002635009,0.00001377164,0.0002627532,0.9961326,0.00004024516,0.00002161057,0.002263242],"study_design_scores_gemma":[0.00002178223,0.0003499942,0.04043111,0.000008530019,0.00003689379,0.0005105174,0.00005189034,0.009150874,0.948423,0.0001426743,0.0008584346,0.00001428595],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985154,0.0004080643,0.01353475,0.00003414283,0.000004505292,0.00001979816,0.0001870603,0.0001329975,0.0005246983],"genre_scores_gemma":[0.9844902,0.0005135698,0.01320085,0.00002631035,0.000005283007,0.00005078984,0.000382146,0.0000532472,0.001277492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001042745,"threshold_uncertainty_score":0.001986623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00769193114972844,"score_gpt":0.231676756765473,"score_spread":0.2239848256157445,"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."}}