{"id":"W4252671246","doi":"10.1007/978-3-642-28804-3_10","title":"Conclusion","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in control and information sciences","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Distributed computing; Computer science; Range (aeronautics); Autonomy; Engineering; Political science","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":[0.0005370432,0.0001944605,0.0002620075,0.0002563279,0.0002294785,0.0001469119,0.0003033037,0.0001547021,0.00003117212],"category_scores_gemma":[0.0001077468,0.0001386825,0.00003822195,0.00009180146,0.0002160035,0.004985243,0.0001807645,0.0001940325,0.00004875597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002721576,"about_ca_system_score_gemma":0.00007989771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002875366,"about_ca_topic_score_gemma":0.00003231096,"domain_scores_codex":[0.99883,0.00001570364,0.0003866094,0.0001875616,0.0003561126,0.0002240476],"domain_scores_gemma":[0.9991095,0.000250271,0.000275863,0.0002245931,0.00007274235,0.00006704955],"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":[0.00000361868,0.000001300823,0.00004882532,0.00002203662,0.00000324599,6.226909e-7,0.0004716229,0.0002063275,0.00001059961,0.6995549,0.00002995018,0.299647],"study_design_scores_gemma":[0.0005345555,0.00009319814,0.0001761929,0.0001671863,0.000006181464,0.0000346678,0.000007230573,0.01989423,0.00004530826,0.02782323,0.9508278,0.0003901534],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000008889589,0.002724865,0.9200904,0.0007658377,0.0003858367,0.0002157416,0.00002858136,0.00004994116,0.07572993],"genre_scores_gemma":[0.8752218,0.003058551,0.09883956,0.01856208,0.0009791072,0.00007014871,0.0001097919,0.00002907172,0.003129879],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9507979,"threshold_uncertainty_score":0.5655307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01165544125937459,"score_gpt":0.236390024547315,"score_spread":0.2247345832879404,"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."}}