{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004390562,0.00006010439,0.00006684868,0.0000315276,0.00006612107,0.00003181598,0.00008991196,0.00003905999,0.0001283376],"category_scores_gemma":[0.00004318139,0.00004320228,0.00004342749,0.00004353006,0.0001989764,0.000006912963,0.0001047154,0.00001845274,0.000004051787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009886501,"about_ca_system_score_gemma":0.00004780124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001033826,"about_ca_topic_score_gemma":0.00004417995,"domain_scores_codex":[0.9991161,0.00002423923,0.0002082626,0.0003293729,0.0001880641,0.0001339632],"domain_scores_gemma":[0.9993241,0.000003350987,0.00009937492,0.0004177631,0.00007660339,0.00007877318],"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":[0.00002158749,0.00007372153,0.0005981085,0.000002111484,0.000003596425,0.00001776235,0.00005086584,0.000002934184,0.9961221,0.00006201216,0.000293748,0.002751451],"study_design_scores_gemma":[0.0001381301,0.0001261721,0.0003886338,0.00001621722,0.000001416996,0.00006362554,0.0001026627,0.00003979103,0.9820772,0.0001666125,0.01681076,0.00006875387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860727,0.00004903966,0.01088782,0.00002850725,0.001554754,0.00006759472,0.000002957153,0.000008155587,0.001328513],"genre_scores_gemma":[0.9964555,0.000001495403,0.0005618332,0.000008753312,0.00005894966,0.000002375056,0.00004489834,0.000006790057,0.002859395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01651702,"threshold_uncertainty_score":0.1761738,"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."}}