{"id":"W4398193451","doi":"10.1016/j.jcyt.2024.03.091","title":"UNLOCKING THE POTENTIAL OF MESENCHYMAL STROMAL CELLS USING COMBINATORIAL ANALYSIS TO INVESTIGATE THE EFFECTS OF DONOR HETEROGENEITY AND CRITICAL PROCESSING PARAMETERS ON MSC CRITICAL QUALITY ATTRIBUTES","year":2024,"lang":"en","type":"article","venue":"Cytotherapy","topic":"Scientific and Engineering Research Topics","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Krembil Foundation","funders":"","keywords":"Mesenchymal stem cell; Stromal cell; Computer science; Computational biology; Biology; Cell biology; Cancer research","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":[0.0002873539,0.0002972596,0.0002176818,0.0003192885,0.0001802076,0.0008174595,0.0001451472,0.0001693529,0.001200716],"category_scores_gemma":[0.0003185363,0.000105198,0.000226776,0.0003811958,0.0002419005,0.0002726806,0.0003388358,0.0005564977,0.0002553224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002303857,"about_ca_system_score_gemma":0.0003181681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002819066,"about_ca_topic_score_gemma":0.0008612202,"domain_scores_codex":[0.9998065,0.00002133527,0.00001436119,0.00004000066,0.00008596574,0.0000319567],"domain_scores_gemma":[0.9997459,0.00007752552,0.0000595073,0.00002459505,0.00005745532,0.00003503685],"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":[0.00003818891,0.00001878535,0.0001760126,0.00002822316,0.000003562857,0.00001135603,0.00001332016,0.0003090305,0.9968453,0.0001689449,0.00002374426,0.002363492],"study_design_scores_gemma":[0.000002995925,0.00007255701,0.0006663989,0.000002409797,0.00001378143,0.00001932416,0.00001775593,0.001141618,0.9972843,0.00005688144,0.0007175246,0.000004446643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827287,0.0006870336,0.01421649,0.00006698405,0.00002638251,0.0000503083,0.0002684984,0.00007665103,0.001879095],"genre_scores_gemma":[0.9888361,0.0005431963,0.009391424,0.00006713585,0.00001308652,0.00006482643,0.0001932243,0.00005536677,0.0008356136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001200716,"threshold_uncertainty_score":0.004016757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04470825066175817,"score_gpt":0.3681915039565253,"score_spread":0.3234832532947672,"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."}}