{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002048357,0.0005335961,0.0005186976,0.0006767784,0.001251801,0.002585947,0.001262537,0.001526983,0.01870597],"category_scores_gemma":[0.0009542861,0.0003326071,0.0008002846,0.0007724646,0.001233467,0.003763455,0.001609877,0.00135877,0.00832443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001003118,"about_ca_system_score_gemma":0.0006387383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007611666,"about_ca_topic_score_gemma":0.0006488013,"domain_scores_codex":[0.9996044,0.00005149626,0.0000219433,0.0001040105,0.0001598921,0.00005823671],"domain_scores_gemma":[0.9997265,0.00005644662,0.00003060132,0.00007826859,0.00007882922,0.00002943647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002491626,0.00001025985,0.00005498303,0.0001361084,0.000009240539,0.0001207852,0.00006842487,0.001941725,0.005100933,0.9660118,0.006805572,0.0197153],"study_design_scores_gemma":[0.00002082183,0.00003196743,0.0001046277,0.00009176732,0.0000174451,0.0006908634,0.00007940111,0.01072403,0.00970952,0.5651212,0.4133794,0.00002891406],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01953835,0.01698424,0.6365467,0.005185477,0.002487163,0.0002659648,0.0019822,0.002413185,0.3145967],"genre_scores_gemma":[0.4696009,0.02613316,0.2420864,0.003285663,0.001269363,0.000778578,0.004034028,0.0007169738,0.2520949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01870597,"threshold_uncertainty_score":0.06257766,"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."}}