{"id":"W2523890437","doi":"","title":"Algorithms and Computation, 20th International ymposium, ISAAC","year":2009,"lang":"en","type":"article","venue":"International Symposium on Algorithms and Computation","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computation; Algorithm; Theoretical computer 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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006121643,0.0005652059,0.000451768,0.0004614254,0.0003740593,0.001188442,0.001087828,0.0002047378,0.00002623791],"category_scores_gemma":[0.00006449759,0.0005711259,0.0001497222,0.0004704672,0.0001693906,0.001288224,0.0004668917,0.0004046394,0.00005372999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002873505,"about_ca_system_score_gemma":0.00007838639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001063309,"about_ca_topic_score_gemma":0.000006250524,"domain_scores_codex":[0.995742,0.0001641061,0.0008792864,0.00143699,0.001268115,0.0005094837],"domain_scores_gemma":[0.997802,0.000369148,0.0003953298,0.0003738292,0.0007249389,0.0003348141],"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":[0.00007788568,0.00077813,0.0008498837,0.00001730865,0.0001832629,0.00008176636,0.001331776,0.02463928,0.0008955096,0.0336074,0.001664032,0.9358737],"study_design_scores_gemma":[0.001730562,0.0006600822,0.03022948,0.00006138296,0.00002043596,0.0002905759,0.00006163809,0.9301585,0.0003157009,0.0307286,0.005082325,0.0006607502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02527412,0.0002316765,0.9363315,0.02734268,0.004030224,0.0005856521,0.00004611454,0.0005682172,0.005589809],"genre_scores_gemma":[0.8188268,0.0002838336,0.1749339,0.004284352,0.001116604,0.00004279428,0.0001802592,0.00004166789,0.0002897904],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.935213,"threshold_uncertainty_score":0.9998484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548979491802913,"score_gpt":0.2824291897814106,"score_spread":0.2669393948633814,"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."}}