{"id":"W2171445986","doi":"10.1155/2011/207326","title":"Bone Marrow Stem Cell Derived Paracrine Factors for Regenerative Medicine: Current Perspectives and Therapeutic Potential","year":2010,"lang":"en","type":"article","venue":"Bone Marrow Research","topic":"Mesenchymal stem cell research","field":"Medicine","cited_by":155,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Victoria Hospital; Montreal General Hospital; Université de Montréal; Centre Hospitalier de l’Université de Montréal; McGill University","funders":"Université de Montréal; Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Homing (biology); Medicine; Paracrine signalling; Stem cell; Regenerative medicine; Stem-cell therapy; Bone marrow; Bone Marrow Stem Cell; Chemokine; Cell therapy; Immunology; Neuroscience; Bioinformatics; Cancer research; Inflammation; Receptor; Cell biology; Pathology; Internal medicine; Mesenchymal stem cell; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003321318,0.0004440936,0.0008372474,0.0007464776,0.0006521678,0.0001177989,0.0003277019,0.0002644195,0.0009994048],"category_scores_gemma":[0.0007540935,0.0003265555,0.0001872654,0.0006838611,0.001372137,0.0001225294,0.0003480409,0.002096828,0.00005205167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002114285,"about_ca_system_score_gemma":0.0005349325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002322609,"about_ca_topic_score_gemma":0.0001364483,"domain_scores_codex":[0.9940447,0.0006035025,0.0005830882,0.001127562,0.00220907,0.001432067],"domain_scores_gemma":[0.9952646,0.0012392,0.0001280806,0.0008577729,0.001574393,0.000935884],"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":[0.001495951,0.000501147,0.003410318,0.0007598106,0.0001041161,0.0001422436,0.004283098,0.000001362191,0.9596981,0.001573143,0.005012817,0.0230179],"study_design_scores_gemma":[0.02940286,0.01235578,0.09417446,0.0009583809,0.0005635887,0.0007876725,0.06397638,0.0112033,0.6863125,0.003566613,0.09422193,0.002476499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972519,0.01452106,0.000306854,0.0061379,0.0003980155,0.003190465,0.0000369009,0.00007995674,0.002809851],"genre_scores_gemma":[0.9830667,0.001114039,0.0004210449,0.00003341018,0.0008796877,0.0003397407,0.00005722141,0.0001021421,0.013986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2733856,"threshold_uncertainty_score":0.9999186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0920678065239196,"score_gpt":0.3901277245301953,"score_spread":0.2980599180062757,"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."}}