{"id":"W2017207175","doi":"10.1002/nbm.967","title":"Stem cell implantation in ischemic mouse heart: a high‐resolution magnetic resonance imaging investigation","year":2005,"lang":"en","type":"article","venue":"NMR in Biomedicine","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Stem Cell Network","keywords":"Stem cell; Magnetic resonance imaging; Progenitor cell; Iron oxide nanoparticles; Ligation; High resolution; Pathology; Medicine; Myocardial infarction; In vivo; Chemistry; Nuclear magnetic resonance; Biology; Iron oxide; Internal medicine; Cell biology; Radiology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0007277033,0.0007485524,0.0004769662,0.0009361499,0.0001929501,0.0003454619,0.000346591,0.0008615552,0.001123706],"category_scores_gemma":[0.0001795377,0.0004261969,0.0003166454,0.000242866,0.0003906378,0.0003749507,0.0002433321,0.0009545307,0.0005139949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001665024,"about_ca_system_score_gemma":0.0001720209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004129485,"about_ca_topic_score_gemma":0.0004433437,"domain_scores_codex":[0.9997842,0.00003351521,0.0000186293,0.00005535773,0.000062454,0.00004591247],"domain_scores_gemma":[0.9996996,0.00005465617,0.00008467938,0.00004152355,0.00004419291,0.00007529995],"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":[0.00005607387,0.00004131645,0.00006336732,0.00001750349,0.000002664568,0.00004743459,0.00001621018,0.00003162487,0.999201,0.00004280861,0.000009175703,0.0004708399],"study_design_scores_gemma":[0.000031765,0.0009626034,0.002100769,0.000009842047,0.00003526099,0.0003884052,0.00003042338,0.001375458,0.9938392,0.00004895196,0.001170432,0.00000685779],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680184,0.002967243,0.02589243,0.0001724614,0.00007908159,0.0001636997,0.0003369061,0.0003099635,0.00205983],"genre_scores_gemma":[0.9440229,0.00404094,0.04157574,0.0001708835,0.00006257987,0.000268227,0.001054365,0.0001874456,0.008617023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001123706,"threshold_uncertainty_score":0.003848493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009985567354101665,"score_gpt":0.2433400903747447,"score_spread":0.2333545230206431,"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."}}