{"id":"W4283075024","doi":"10.1007/s00011-022-01573-3","title":"Bioscreening and pre-clinical evaluation of the impact of bioactive molecules from Ptychotis verticillata on the multilineage potential of mesenchymal stromal cells towards immune- and inflammation-mediated diseases","year":2022,"lang":"en","type":"article","venue":"Inflammation Research","topic":"Mesenchymal stem cell research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Fonds De La Recherche Scientifique - FNRS","keywords":"Mesenchymal stem cell; Adipogenesis; Cell biology; Stromal cell; Immune system; Carvacrol; Regenerative medicine; Thymol; Multipotent Stem Cell; In vitro; Biology; Stem cell; Inflammation; Chemistry; Pharmacology; Cancer research; Immunology; Biochemistry; Essential oil; Botany; Progenitor cell","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":[0.0002787566,0.0003324046,0.0003332308,0.000302364,0.0001404577,0.0003328844,0.000128139,0.0002562936,0.001470068],"category_scores_gemma":[0.0003008813,0.00009846922,0.0002524256,0.0001494164,0.000251366,0.0002650814,0.0002027328,0.0005162701,0.0001479469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007754365,"about_ca_system_score_gemma":0.0001989089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001945115,"about_ca_topic_score_gemma":0.0003916104,"domain_scores_codex":[0.9998707,0.00002322374,0.00001135164,0.00001934817,0.0000475928,0.00002789231],"domain_scores_gemma":[0.9998846,0.0000310936,0.00002512586,0.000009461556,0.00002806721,0.00002162117],"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":[0.0006184987,0.0001738708,0.0001804723,0.0001049625,0.000008518914,0.0000402363,0.00001686073,0.0001107351,0.9923429,0.00003318718,0.00001918358,0.00635066],"study_design_scores_gemma":[0.00009575498,0.008013449,0.0050055,0.00002064749,0.00008386745,0.0001517982,0.00007271481,0.0005714299,0.9844434,0.00006739498,0.001464446,0.00000946435],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946578,0.002752018,0.001612026,0.00005591973,0.00004267403,0.00009684091,0.0001047515,0.00002110446,0.0006568098],"genre_scores_gemma":[0.9966163,0.001290143,0.001335058,0.00003998765,0.00001287961,0.00004095092,0.00009943736,0.000006313439,0.0005589324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001470068,"threshold_uncertainty_score":0.00491786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1017300177850296,"score_gpt":0.4335670919827411,"score_spread":0.3318370741977116,"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."}}