{"id":"W2911770460","doi":"","title":"Proceedings of the 11th International Symposium on Algorithms and Data Structures","year":2009,"lang":"en","type":"article","venue":"Workshop on Algorithms and Data Structures","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Carleton University","funders":"","keywords":"Computer science; Algorithm","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0006987946,0.0002858097,0.0003305345,0.0001555637,0.0003609824,0.0006731233,0.005981727,0.0002037182,0.0000664805],"category_scores_gemma":[0.0009626806,0.0001609095,0.00003754862,0.0005675605,0.0004258871,0.0006715755,0.002906178,0.0004451477,0.000003043434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001613803,"about_ca_system_score_gemma":0.00002908242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000293272,"about_ca_topic_score_gemma":0.00002019565,"domain_scores_codex":[0.9966877,0.00002202984,0.0005371905,0.001354344,0.001121334,0.0002773626],"domain_scores_gemma":[0.9962634,0.0003421199,0.0003685461,0.002768507,0.0001516948,0.0001056992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004514742,0.00004077661,0.0004404588,0.00000383031,0.00003121287,0.000001217434,0.00006757976,0.00001993207,0.0003237985,0.04473887,0.0669462,0.887341],"study_design_scores_gemma":[0.00130581,0.0003211774,0.2656965,0.0001489031,0.00009538426,0.0001199009,0.002475867,0.02237925,0.001787421,0.2539928,0.4508692,0.0008078074],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7652788,0.003796409,0.006997766,0.1492689,0.004578253,0.003489131,0.05523374,0.0007095957,0.01064743],"genre_scores_gemma":[0.9668615,0.001382079,0.02850601,0.001800924,0.0005155282,0.000009102575,0.0006562832,0.00002390181,0.0002446864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8865332,"threshold_uncertainty_score":0.9993964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1330494260001287,"score_gpt":0.3836235653197722,"score_spread":0.2505741393196435,"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."}}