{"id":"W2500464871","doi":"10.1038/srep29908","title":"Spatial Competition: Roughening of an Experimental Interface","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Diffusion and Search Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Division of Materials Research; National Science Foundation","keywords":"Competition (biology); Interface (matter); Computer science; Biology; Ecology; Parallel computing","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":[0.000468793,0.0002562286,0.0002666021,0.0002127025,0.0003763381,0.0005271811,0.0005919385,0.0004226334,0.002595061],"category_scores_gemma":[0.001251998,0.0002495533,0.0003126808,0.0002261433,0.0005796827,0.0005218613,0.0006189918,0.0009208662,0.0002665137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006146392,"about_ca_system_score_gemma":0.0003167967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001862827,"about_ca_topic_score_gemma":0.001332053,"domain_scores_codex":[0.999549,0.00007030532,0.00003842825,0.0001176472,0.00009044141,0.000134141],"domain_scores_gemma":[0.999011,0.0004277019,0.0001293292,0.0002376939,0.00008765176,0.0001065441],"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":[0.0004555775,0.000487895,0.002548357,0.0000936656,0.00002192343,0.0001633205,0.0001550732,0.006692887,0.9814163,0.004387049,0.0003053048,0.003272646],"study_design_scores_gemma":[0.0002647836,0.003835748,0.01202511,0.00002358011,0.00006261381,0.0003501566,0.0001925574,0.1394786,0.8359764,0.003709098,0.004021919,0.00005949316],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912181,0.00007823693,0.006722366,0.00007222634,0.00002702674,0.00004417504,0.0001129033,0.00005825258,0.001666653],"genre_scores_gemma":[0.9944958,0.00005169768,0.004390832,0.0000467128,0.000005226805,0.00007352544,0.0001499424,0.00002505344,0.0007610918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002595061,"threshold_uncertainty_score":0.008681357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120482707261636,"score_gpt":0.2845657950313872,"score_spread":0.2733609679587709,"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."}}