{"id":"W2071500750","doi":"10.1145/2739482.2764898","title":"Empirical Scaling Analyser","year":2015,"lang":"en","type":"article","venue":"","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Analyser; Scaling; Solver; Heuristic; Empirical research; Key (lock); Time complexity; Computational complexity theory; Algorithm; Theoretical computer science; Artificial intelligence; Mathematics","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":[0.006129633,0.00154251,0.001261988,0.004475808,0.0007836863,0.0029468,0.00188489,0.001101795,0.01381211],"category_scores_gemma":[0.06470071,0.0006555304,0.001187351,0.003877521,0.001325414,0.004571259,0.002330624,0.00300097,0.002914648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001198744,"about_ca_system_score_gemma":0.002082684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00148045,"about_ca_topic_score_gemma":0.0009746579,"domain_scores_codex":[0.9904598,0.002251901,0.0007096651,0.001640623,0.004489032,0.0004491346],"domain_scores_gemma":[0.9240012,0.0466287,0.004353755,0.01463607,0.009649656,0.0007306999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008762198,0.0006589427,0.0199154,0.001370723,0.00030175,0.0005845202,0.001377984,0.1263457,0.03045603,0.1162535,0.041772,0.6600872],"study_design_scores_gemma":[0.00014637,0.0004086056,0.01231931,0.0002503725,0.00009928669,0.0006703671,0.0006622298,0.7989142,0.03608603,0.08417587,0.06611221,0.0001551688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.0642374,0.0007737345,0.8886877,0.0006956027,0.0002693236,0.00087036,0.004740336,0.01648303,0.02324247],"genre_scores_gemma":[0.3906854,0.0006749566,0.5912252,0.0003876666,0.0002621173,0.00283338,0.005528938,0.003889493,0.004512837],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01381211,"threshold_uncertainty_score":0.04620606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08652012247492252,"score_gpt":0.3297659059274811,"score_spread":0.2432457834525586,"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."}}