{"id":"W2109866804","doi":"10.1002/mrm.10326","title":"Multiple‐mouse MRI","year":2002,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Scanner; Computer science; Electromagnetic coil; Encoding (memory); Sensitivity (control systems); Resolution (logic); Image resolution; Artificial intelligence; Physics; Electronic engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001362806,0.0001517836,0.0003288538,0.0001313734,0.00004105928,0.00000319851,0.0001239602,0.00008356717,0.001838024],"category_scores_gemma":[0.0002324217,0.0001197898,0.00003466494,0.0004273192,0.000223784,0.00003611816,0.0000302836,0.0002736155,0.00009462407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005647962,"about_ca_system_score_gemma":0.000008196034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007802343,"about_ca_topic_score_gemma":0.00003040611,"domain_scores_codex":[0.9987558,0.00001640764,0.0003598471,0.0003152022,0.0002600252,0.0002926927],"domain_scores_gemma":[0.9991688,0.0001011454,0.00004900494,0.000501989,0.0000522452,0.0001267986],"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":[0.0001170974,0.0005992749,0.04706289,0.00008284148,0.000002486508,0.0002595602,0.0008372538,0.00003552941,0.01578673,0.002804705,0.1134575,0.8189541],"study_design_scores_gemma":[0.003316109,0.0008380095,0.05049487,0.0003530148,0.00002247287,0.00009634036,0.000137567,0.01222243,0.001098293,0.0008585147,0.9303698,0.0001925801],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3342224,0.1796851,0.05533986,0.1530226,0.0004895707,0.007322112,0.00003619234,0.001789693,0.2680924],"genre_scores_gemma":[0.8368616,0.01688071,0.08951962,0.005396895,0.0006096585,0.0005662443,0.00002529771,0.00007874362,0.0500613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8187615,"threshold_uncertainty_score":0.9990745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02946631744775083,"score_gpt":0.3055371774585765,"score_spread":0.2760708600108257,"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."}}