{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000871051,0.001176059,0.001065083,0.001661345,0.0009097041,0.003985017,0.0009185396,0.002294007,0.0507716],"category_scores_gemma":[0.002506556,0.0004121562,0.0004519133,0.001475916,0.003056259,0.00355314,0.001298458,0.002508277,0.02049004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001310761,"about_ca_system_score_gemma":0.0008896251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001533172,"about_ca_topic_score_gemma":0.001841228,"domain_scores_codex":[0.9992834,0.0001809855,0.00004767802,0.00015877,0.000271131,0.00005806176],"domain_scores_gemma":[0.9991241,0.000395272,0.00006503966,0.0001695041,0.0001874154,0.0000585642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004279291,0.00002923976,0.0005076182,0.0005399205,0.00005205268,0.0001774397,0.0004561026,0.001161378,0.0008860714,0.6983857,0.1473992,0.1503626],"study_design_scores_gemma":[0.00001420096,0.00003381092,0.0006274651,0.0002741812,0.00002439217,0.000402296,0.0002464339,0.001753281,0.0003373007,0.3447044,0.6515667,0.00001551673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003050597,0.1990647,0.1026433,0.02539445,0.01067388,0.0001142981,0.001521518,0.001758856,0.6557783],"genre_scores_gemma":[0.2360243,0.1302091,0.05188296,0.01145087,0.01203733,0.0007122618,0.002638052,0.000589604,0.5544555],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0507716,"threshold_uncertainty_score":0.1698479,"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."}}