{"id":"W4310356612","doi":"10.3389/fimmu.2022.972095","title":"Putative critical quality attribute matrix identifies mesenchymal stromal cells with potent immunomodulatory and angiogenic “fitness” ranges in response to culture process parameters","year":2022,"lang":"en","type":"article","venue":"Frontiers in Immunology","topic":"Mesenchymal stem cell research","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ontario Institute for Regenerative Medicine; Arthritis Society","keywords":"Mesenchymal stem cell; Critical quality attributes; Stromal cell; Angiogenesis; In vitro; Biology; Computational biology; Immunology; Cell biology; Cancer research; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004971576,0.0003754003,0.0002919273,0.0005530511,0.0002199244,0.0007059756,0.0001418799,0.0002907948,0.001131767],"category_scores_gemma":[0.000617785,0.000179559,0.0002686175,0.0004807058,0.0003756808,0.0003441011,0.0004263084,0.000449712,0.0002196141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003486043,"about_ca_system_score_gemma":0.0002609374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004493457,"about_ca_topic_score_gemma":0.0007888844,"domain_scores_codex":[0.9994888,0.00007280337,0.00005522638,0.0001170855,0.000201075,0.00006482174],"domain_scores_gemma":[0.9993008,0.0001674277,0.000227144,0.00005045601,0.0001564732,0.00009757721],"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":[0.00006466413,0.00001508396,0.001406317,0.00002634995,0.00000450348,0.00001709854,0.00003129203,0.0001781673,0.9965322,0.00008174055,0.00001948228,0.001623026],"study_design_scores_gemma":[0.000005539178,0.0003098273,0.02156443,0.000009950573,0.00003075114,0.0001329163,0.00009827637,0.002117349,0.9744281,0.0001181816,0.001168933,0.00001566469],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985266,0.0005731917,0.01245677,0.00005294949,0.00001099955,0.0000693776,0.0005560433,0.0000862401,0.0009283337],"genre_scores_gemma":[0.986136,0.0004134445,0.01161673,0.00007258762,0.00001166121,0.000125627,0.0008636569,0.00004892026,0.0007114866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001131767,"threshold_uncertainty_score":0.003786147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02069656599754925,"score_gpt":0.3377615042042766,"score_spread":0.3170649382067273,"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."}}