{"id":"W2060631437","doi":"10.1016/j.biomaterials.2007.12.012","title":"MRI characterization of agarose gel micro-droplets at acute time-points within the rabbit lumbar muscle","year":2008,"lang":"en","type":"article","venue":"Biomaterials","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Agarose; In vivo; Materials science; Biomedical engineering; Viability assay; Capsule; Progenitor cell; Cell; Biophysics; Chemistry; Stem cell; Chromatography; Cell biology; Medicine; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002562757,0.000179434,0.00043043,0.00007460779,0.0001195987,0.000007740983,0.00008913466,0.0001300562,0.0003554765],"category_scores_gemma":[0.00004621036,0.0001094441,0.00006384875,0.0001367948,0.0001885873,0.00004274384,0.00006973395,0.00002625104,0.0002020791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004468602,"about_ca_system_score_gemma":0.00003759551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001030948,"about_ca_topic_score_gemma":3.914875e-7,"domain_scores_codex":[0.9989002,0.00007589685,0.0004115379,0.0002097509,0.0002185481,0.0001841117],"domain_scores_gemma":[0.9993243,0.00001465212,0.0001897471,0.0003005409,0.00008176719,0.00008901799],"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":[0.00006455296,0.00005419604,0.0002639736,0.00005794248,0.00008053872,0.00006491274,0.0007595574,0.000001478569,0.996975,0.000007988288,0.001564238,0.0001056441],"study_design_scores_gemma":[0.0009327442,0.00015108,0.08780978,0.0001185178,0.00009082354,0.0003418998,0.000007656274,0.00007387657,0.9070174,0.000001257493,0.003347312,0.0001076745],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967155,0.000317291,0.0002473209,0.001133923,0.0009411023,0.000424165,0.00009091983,0.00009131784,0.00003848944],"genre_scores_gemma":[0.9874604,0.0001646225,0.000707265,0.0001225972,0.0005616592,0.0000214177,0.0003337962,0.00003942787,0.01058876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0899576,"threshold_uncertainty_score":0.4463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01280382841587699,"score_gpt":0.2311943227157637,"score_spread":0.2183904942998867,"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."}}