{"id":"W7053459764","doi":"","title":"An «in vivo» MRI and «post-mortem» qIHC study of an APP mouse model","year":2013,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genetically modified mouse; Magnetic resonance imaging; Perfusion; In vivo; Amyloid (mycology); Preclinical imaging; Perivascular space; Quantitative susceptibility mapping; Human brain; Neocortex","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0007300169,0.0008333752,0.0004258235,0.001606575,0.0007398236,0.0005243227,0.000532241,0.0008443386,0.003744405],"category_scores_gemma":[0.0002227797,0.0004206933,0.0005341883,0.000303093,0.0006236314,0.0006360597,0.0004339497,0.00133337,0.001335133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003456731,"about_ca_system_score_gemma":0.0002414807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001160695,"about_ca_topic_score_gemma":0.001432567,"domain_scores_codex":[0.9997842,0.00003190483,0.0000201493,0.00006309763,0.00005838884,0.00004230357],"domain_scores_gemma":[0.999651,0.00003541081,0.00008594097,0.00006823283,0.00009368505,0.00006577588],"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":[0.0003489464,0.0004238757,0.0007476276,0.00007966569,0.00001430947,0.0008457552,0.0001306424,0.00009202246,0.992432,0.0004757904,0.000327188,0.00408224],"study_design_scores_gemma":[0.0001208897,0.004850604,0.01852369,0.00008287918,0.0001740151,0.009268941,0.0002903054,0.001514429,0.9448075,0.000598942,0.01971517,0.000052667],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9544616,0.003345621,0.02665365,0.000710774,0.0002747529,0.0005356441,0.002014366,0.0005986582,0.01140501],"genre_scores_gemma":[0.8998572,0.008993775,0.0335529,0.0007070479,0.0002571289,0.001073207,0.003475132,0.0003373593,0.05174628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003744405,"threshold_uncertainty_score":0.01252627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003244268512191946,"score_gpt":0.1455968013309883,"score_spread":0.1423525328187964,"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."}}