{"id":"W4232510406","doi":"10.1186/gb-2006-7-4-313","title":"Signals and systems.","year":2006,"lang":"en","type":"article","venue":"Genome Biology","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Keystone species; Geography; Biology; Ecology; Ecosystem","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":[0.0002214561,0.00008261692,0.0001188129,0.00006819996,0.00005264018,0.0000535885,0.0003412258,0.00004334875,0.00001555051],"category_scores_gemma":[0.000002277109,0.00007188127,0.00001812016,0.0001253159,0.00004286649,0.00004824481,0.0002457792,0.00003521391,0.00008961994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003004982,"about_ca_system_score_gemma":0.00001246089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001125933,"about_ca_topic_score_gemma":0.000005830738,"domain_scores_codex":[0.9991773,0.00008335682,0.0001505937,0.0003014815,0.0000459296,0.0002413079],"domain_scores_gemma":[0.9995365,0.00004271538,0.00005382662,0.000312725,0.0000174947,0.00003671506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006319023,0.00005563188,0.004825505,0.00005433519,0.0000530094,0.0000593252,0.00006230458,0.007219573,0.02498567,0.929393,0.009112181,0.02417314],"study_design_scores_gemma":[0.0006701363,0.0003513669,0.02249771,0.00001030172,0.00001410686,0.0000369191,0.00001460438,0.03651384,0.0002614137,0.0153083,0.9238181,0.0005032494],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1149046,0.01053673,0.8594415,0.0008019037,0.0009334862,0.0006050473,0.000006935162,0.0003007552,0.01246906],"genre_scores_gemma":[0.9965191,0.00004189542,0.002278171,0.0002962373,0.0001942757,0.00003768808,0.00000857231,0.000004459993,0.0006195403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9147059,"threshold_uncertainty_score":0.2931233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148256694746593,"score_gpt":0.2112192878572026,"score_spread":0.1997367209097367,"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."}}