{"id":"W4241033016","doi":"10.4018/9781591405603.ch015","title":"Component-Based Generalized Database Index Model","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Index (typography); Component (thermodynamics); Computer science; Database; Programming language; Physics","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":[0.001600843,0.001060299,0.001426833,0.002224727,0.000965754,0.005669779,0.007256722,0.002066502,0.01090729],"category_scores_gemma":[0.00484984,0.0006568835,0.001355451,0.005562089,0.001244575,0.007999853,0.002762908,0.001701196,0.004700116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002378369,"about_ca_system_score_gemma":0.002206012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01181605,"about_ca_topic_score_gemma":0.006213685,"domain_scores_codex":[0.9977514,0.0003094099,0.000190925,0.0005427559,0.0009482166,0.0002573736],"domain_scores_gemma":[0.9974571,0.0004616696,0.0001817243,0.0007628911,0.00099103,0.0001455416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002096089,0.00009980943,0.001608386,0.0003130048,0.0001041571,0.0006072876,0.0002926169,0.3157579,0.002687937,0.5783545,0.01669891,0.08326585],"study_design_scores_gemma":[0.00003763676,0.00005799285,0.0002622638,0.00002329221,0.00005812557,0.0003702176,0.0000562353,0.8593314,0.0007745318,0.1131806,0.02581689,0.00003078474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01681903,0.001746388,0.9527774,0.0008878176,0.0002018103,0.0004045399,0.001729774,0.002606739,0.02282646],"genre_scores_gemma":[0.5666932,0.004016723,0.3774596,0.0005497565,0.0003179271,0.0009880594,0.004611799,0.0005392353,0.04482366],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01181605,"threshold_uncertainty_score":0.03648853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04571284871760491,"score_gpt":0.2845648638133839,"score_spread":0.238852015095779,"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."}}