{"id":"W2074082874","doi":"10.1145/1376616.1376741","title":"Stretch 'n' shrink","year":2008,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Open source; Query optimization; Information retrieval; Database; Human–computer interaction; Programming language; Software","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":[0.006151179,0.001618991,0.001889272,0.001425432,0.001611962,0.00411071,0.004897638,0.001919506,0.02822513],"category_scores_gemma":[0.02545018,0.001175946,0.001428804,0.001615649,0.001810637,0.009598929,0.01067095,0.002682849,0.0110981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001182366,"about_ca_system_score_gemma":0.001950444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00336512,"about_ca_topic_score_gemma":0.004692988,"domain_scores_codex":[0.9921673,0.001186914,0.0009438958,0.001453288,0.003548693,0.0006998609],"domain_scores_gemma":[0.9854125,0.004031202,0.0004726052,0.006784192,0.002596284,0.0007031509],"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":[0.002228858,0.0003492179,0.004552335,0.00124536,0.0001540645,0.0003988447,0.001397903,0.005777209,0.03383889,0.0773489,0.3017838,0.5709247],"study_design_scores_gemma":[0.0003278386,0.0006038789,0.001947426,0.0002809874,0.0001150456,0.001276553,0.0008105738,0.08474638,0.05831597,0.09871154,0.7525505,0.0003133966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01559729,0.001431998,0.8432699,0.002350546,0.001042521,0.0006293735,0.003599345,0.106697,0.02538196],"genre_scores_gemma":[0.1691321,0.001132615,0.7477828,0.004146578,0.0005284145,0.001003574,0.01104113,0.03471779,0.03051509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02822513,"threshold_uncertainty_score":0.09442246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02381021578104246,"score_gpt":0.2080353629914616,"score_spread":0.1842251472104192,"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."}}