{"id":"W29603277","doi":"10.1007/978-3-642-21501-8_56","title":"Chemical Signaling as a Useful Metaphor for Resource Management","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"","keywords":"Computer science; Executable; Connectionism; Artificial intelligence; Representation (politics); Theoretical computer science; Resource (disambiguation); Scheduling (production processes); Artificial neural network; Programming language; Mathematical optimization","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":[0.0003146776,0.0008438448,0.0004452148,0.0006570325,0.0007334683,0.001931046,0.00117001,0.001591436,0.009744484],"category_scores_gemma":[0.0004694475,0.0002752607,0.0004650679,0.0008029409,0.003016205,0.003668031,0.0008332883,0.002687626,0.002296115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009218754,"about_ca_system_score_gemma":0.0004492097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003981753,"about_ca_topic_score_gemma":0.0005504083,"domain_scores_codex":[0.9998411,0.00004119473,0.000006999502,0.00003326358,0.00005720648,0.00002015431],"domain_scores_gemma":[0.9998217,0.00009635172,0.00001475373,0.0000280256,0.00001861474,0.00002058309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001348195,0.00002032347,0.00001124477,0.0001280263,0.000004919918,0.00008454548,0.00008275476,0.001008734,0.007118789,0.9702234,0.008214953,0.01308882],"study_design_scores_gemma":[0.00001885445,0.00007376251,0.00004156888,0.00006589655,0.00001434679,0.0003331064,0.0001158133,0.005893729,0.008752325,0.6160016,0.3686636,0.00002537122],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009666975,0.04830471,0.3845709,0.02261027,0.00951138,0.0001244228,0.0004657167,0.001218389,0.5235273],"genre_scores_gemma":[0.3681382,0.05627362,0.2216547,0.01067048,0.004760254,0.0006285246,0.0004008734,0.0006521445,0.3368212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009744484,"threshold_uncertainty_score":0.03259856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02224245576580172,"score_gpt":0.235204780815382,"score_spread":0.2129623250495802,"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."}}