{"id":"W4292575658","doi":"10.1101/2022.08.20.504649","title":"Spatial compartmentalization of signalling imparts source-specific functions on secreted factors","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Positive Living Society of British Columbia; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Cell biology; Biology; Stromal cell; Progenitor cell; Vascular endothelial growth factor A; Angiogenesis; Regeneration (biology); Cell type; Myogenesis; Compartmentalization (fire protection); Myocyte; Stem cell; Cell; Cancer research; Vascular endothelial growth factor; Genetics; VEGF receptors; Biochemistry","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":[0.000157276,0.0002743205,0.0003503891,0.0001942369,0.0002479614,0.0006708496,0.000243334,0.0003015904,0.0008361864],"category_scores_gemma":[0.0002626089,0.0002772982,0.0004846199,0.0001743185,0.0003471345,0.0003543879,0.0003088886,0.0005015827,0.0002301852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005851366,"about_ca_system_score_gemma":0.0004713884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002439624,"about_ca_topic_score_gemma":0.002480518,"domain_scores_codex":[0.9998229,0.00001957505,0.000009075018,0.00005693863,0.00005366963,0.00003788672],"domain_scores_gemma":[0.9998865,0.00002749748,0.00003149371,0.00002087267,0.00001659154,0.00001701121],"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":[0.0001149361,0.00002724637,0.002222341,0.0000492633,0.00002224887,0.00006362457,0.00002850247,0.02062698,0.9723989,0.001226102,0.0001395769,0.003080336],"study_design_scores_gemma":[0.0000392582,0.0002016395,0.02142266,0.00001972737,0.00007935594,0.0002542943,0.0001890582,0.4780487,0.4933239,0.002006943,0.004366114,0.00004829255],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762196,0.0003771798,0.02188368,0.00009922122,0.00001318109,0.000008659954,0.0002648338,0.000141057,0.0009926882],"genre_scores_gemma":[0.9934424,0.0002414593,0.005599016,0.00002228767,0.000003264397,0.00001318149,0.0001946674,0.00002741197,0.0004561807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002439624,"threshold_uncertainty_score":0.004850864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02083851780539513,"score_gpt":0.2319529100022743,"score_spread":0.2111143921968792,"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."}}