{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001064282,0.0009948697,0.0006750559,0.0005192153,0.0003744599,0.0007526589,0.001547505,0.0009506783,0.005356146],"category_scores_gemma":[0.0005020928,0.0005157003,0.0004672692,0.0002945384,0.00037911,0.0008270816,0.0005915065,0.001163913,0.001128189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004049885,"about_ca_system_score_gemma":0.0002603495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001818025,"about_ca_topic_score_gemma":0.0004092859,"domain_scores_codex":[0.999661,0.00008370037,0.00001294112,0.0001160466,0.00009139111,0.00003490735],"domain_scores_gemma":[0.9996742,0.00008055621,0.00005431107,0.00009930132,0.00004885571,0.00004277345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000551432,0.00009140545,0.000292426,0.0002704852,0.00006440617,0.0001590577,0.00004045862,0.003275892,0.945505,0.009237132,0.001204622,0.03930775],"study_design_scores_gemma":[0.0001260661,0.00151161,0.00152661,0.00005406112,0.0001359321,0.002826246,0.00002911871,0.04853912,0.9007667,0.005367035,0.03903561,0.00008186436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07508881,0.003390691,0.9089541,0.0006801492,0.0002360106,0.0002557879,0.0002354816,0.002452015,0.008706885],"genre_scores_gemma":[0.2845668,0.00435297,0.6977934,0.0003108536,0.00009785892,0.0005375682,0.0004128865,0.000369819,0.01155792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005356146,"threshold_uncertainty_score":0.01791805,"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."}}