{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009733015,0.000151208,0.0003045374,0.0001425786,0.0001938298,0.0002738251,0.0002655787,0.00008391182,0.00001134117],"category_scores_gemma":[0.0008854562,0.00009487535,0.0001805864,0.0006968137,0.0006009362,0.00009075648,0.00007685077,0.0002521188,0.000002031658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000398241,"about_ca_system_score_gemma":0.00006378419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001039956,"about_ca_topic_score_gemma":0.000008967862,"domain_scores_codex":[0.998147,0.0003007079,0.0003305083,0.0003353241,0.000564078,0.0003224182],"domain_scores_gemma":[0.9976614,0.001728672,0.00003644986,0.0003250584,0.0001191366,0.0001293416],"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":[0.000253295,0.000212862,0.007295483,0.001673008,0.0009932617,0.00009134269,0.001144705,0.008207116,0.9620513,0.0145808,0.0002160289,0.003280785],"study_design_scores_gemma":[0.0007694755,0.0005250351,0.0332871,0.0004922781,0.0007568973,0.00001885344,0.0003642043,0.126333,0.8332105,0.003729784,0.000107761,0.0004051526],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766592,0.0006171357,0.02085571,0.0003902296,0.001204954,0.0001913942,0.00004600542,0.00003100503,0.000004344713],"genre_scores_gemma":[0.9988974,0.000008423722,0.0008626801,0.00004873888,0.0001449965,0.000008996068,0.000002182024,0.00001575378,0.00001077647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1288409,"threshold_uncertainty_score":0.3868904,"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."}}