{"id":"W2914058822","doi":"10.1101/530584","title":"Short-range interactions govern cellular dynamics in microbial multi-genotype systems","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Eidgenössische Technische Hochschule Zürich; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Interaction network; Spatial ecology; Systems biology; Process (computing); Temporal scales; Scale (ratio); Dynamics (music)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004633984,0.0006872795,0.0007326177,0.0002794396,0.00009546296,0.0001769337,0.0007533032,0.000927993,0.00001422007],"category_scores_gemma":[0.00006780191,0.0008146775,0.0003684093,0.0003905564,0.00009180218,0.00001169174,0.000789276,0.0007439593,0.00009293395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007364267,"about_ca_system_score_gemma":0.0004260529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002108744,"about_ca_topic_score_gemma":0.0002850622,"domain_scores_codex":[0.9966668,0.0002484442,0.0007383913,0.00139625,0.0002928783,0.0006571967],"domain_scores_gemma":[0.9970468,0.00001776919,0.0003720713,0.001984375,0.0003702843,0.0002087187],"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":[0.00004562546,0.0001959016,0.06907271,0.0002816366,0.0004191367,0.00003250084,0.000004138713,0.01280193,0.9167094,0.00003226848,0.0004030904,0.000001634587],"study_design_scores_gemma":[0.002754217,0.0002174272,0.1709981,0.001304246,0.001230258,3.257693e-7,0.0000595688,0.1594168,0.6247495,5.683974e-7,0.03376839,0.005500649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830921,0.004166072,0.008753662,0.00003634458,0.002548312,0.0008707735,0.0004398403,0.00007680307,0.0000160423],"genre_scores_gemma":[0.9971402,0.0003738603,0.001186836,0.00005060189,0.00080219,0.0001264961,0.00001721608,0.0001988203,0.000103724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2919599,"threshold_uncertainty_score":0.9994304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088599813391786,"score_gpt":0.215838356158412,"score_spread":0.2049523580244942,"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."}}