{"id":"W2507645692","doi":"10.1038/srep31951","title":"Distinguishing autocrine and paracrine signals in hematopoietic stem cell culture using a biofunctional microcavity platform","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Universität Leipzig; Deutsche Forschungsgemeinschaft","keywords":"Paracrine signalling; Autocrine signalling; Haematopoiesis; Stem cell; Cell biology; Admiration; Biology; Cell culture; Psychology; Receptor; Genetics","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":[0.0001761937,0.0002165872,0.0001489401,0.0001932539,0.0001134027,0.0003301619,0.0001884861,0.000226009,0.0004307252],"category_scores_gemma":[0.0002178938,0.0001366471,0.0001490643,0.0001235401,0.0002787468,0.0002325651,0.0001988814,0.0002825255,0.0001874807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001892437,"about_ca_system_score_gemma":0.0002765415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004975572,"about_ca_topic_score_gemma":0.0008311285,"domain_scores_codex":[0.9998769,0.0000183632,0.000005791709,0.00003098212,0.00005142989,0.0000165567],"domain_scores_gemma":[0.9998584,0.00006953625,0.00003401392,0.00001239671,0.00001559625,0.00001006069],"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":[0.00001917605,0.000004884093,0.0001105875,0.000009615007,8.07158e-7,0.00001592757,0.0000127845,0.0003013006,0.9980038,0.0001360208,0.00000715998,0.001378005],"study_design_scores_gemma":[0.000003188722,0.00008262736,0.0005814504,0.000001627238,0.000004913964,0.00005392208,0.00001139399,0.007978773,0.9906664,0.00006816669,0.0005425784,0.000004894838],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564326,0.0002748261,0.04224585,0.00005970111,0.00001014089,0.00001954328,0.00006127357,0.00009965812,0.000796377],"genre_scores_gemma":[0.9631327,0.0003110613,0.03534744,0.0000191239,0.000008265427,0.00004897704,0.00006994873,0.00002767981,0.001034894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004975572,"threshold_uncertainty_score":0.001440942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0261621163648436,"score_gpt":0.2665884970787071,"score_spread":0.2404263807138635,"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."}}