{"id":"W4247371785","doi":"10.1109/access.2020.3011803","title":"Mobile Membranes","year":2020,"lang":"it","type":"article","venue":"IEEE Access","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Ministry of Research, Innovation and Science","keywords":"Membrane; Computer science; Endocytosis; Exocytosis; Computation; Membrane computing; Distributed computing; Chemistry; Cell; Theoretical computer science; Algorithm","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009726662,0.0002484945,0.0002564263,0.00001456486,0.000114281,0.0001692407,0.0008314636,0.0002969581,0.0001856764],"category_scores_gemma":[0.00007589234,0.000205908,0.0001707222,0.0001771678,0.00009881195,0.000008134948,0.0004159847,0.0001801934,0.0001453735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006291853,"about_ca_system_score_gemma":0.00005216988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001279237,"about_ca_topic_score_gemma":0.000001716456,"domain_scores_codex":[0.9985106,0.00009007728,0.0002795676,0.0006130587,0.0001275454,0.0003791785],"domain_scores_gemma":[0.9993063,0.00001983675,0.0001142398,0.0002568794,0.00007461765,0.000228177],"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":[0.0002156946,0.0001366439,0.005104689,0.0002387719,0.0001463278,0.00004890422,0.0001515208,0.000879676,0.9538618,0.00002435883,0.01524707,0.02394454],"study_design_scores_gemma":[0.0005085582,0.001065797,0.0003535046,0.0000234622,0.00004207044,0.000007408431,0.00005599638,0.000895491,0.5965772,0.00004514644,0.3999748,0.0004506585],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983489,0.004713471,0.001724925,0.0007374122,0.0008047966,0.0003264978,0.00003840505,0.00004883022,0.0081166],"genre_scores_gemma":[0.9914916,0.0009149865,0.00007854874,0.004812226,0.002136721,0.00001433717,0.00005617714,0.00002210452,0.0004732648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3847277,"threshold_uncertainty_score":0.8396685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04031660811452216,"score_gpt":0.305028579152761,"score_spread":0.2647119710382389,"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."}}