{"id":"W4402293703","doi":"10.1002/9781119912965.ch9","title":"Data Indexing and Filtering Techniques for Big Data Systems","year":2024,"lang":"en","type":"other","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Search engine indexing; Computer science; Big data; Information retrieval; Data mining","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":[],"consensus_categories":[],"category_scores_codex":[0.0003953273,0.0002333052,0.0003151734,0.000188403,0.00004017073,0.0002974834,0.002062778,0.0001283216,0.000006363173],"category_scores_gemma":[0.00003922106,0.0001828725,0.00001338053,0.0001155897,0.00003622722,0.000587324,0.006739426,0.0001126899,0.00002101291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001230657,"about_ca_system_score_gemma":0.00004605443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005672619,"about_ca_topic_score_gemma":0.0003343593,"domain_scores_codex":[0.9982414,0.00001823277,0.0002368892,0.001140574,0.0001500589,0.0002127955],"domain_scores_gemma":[0.9952984,0.00004729031,0.0001209327,0.004463276,0.00001467992,0.00005539531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[5.42133e-7,0.000002963379,6.646204e-7,0.001238099,0.00003873725,0.00001034677,0.00001360698,8.354492e-8,0.00003157049,0.04825347,0.9198521,0.03055776],"study_design_scores_gemma":[0.00003635852,0.0000126359,7.575689e-8,0.001295768,0.00001103108,0.00003322302,0.00002392001,0.008465813,0.00002083141,0.00009769903,0.9897566,0.000245976],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[1.443367e-8,0.007114661,0.8913204,0.00005452429,0.002014866,0.000527234,0.006499382,0.001017743,0.09145115],"genre_scores_gemma":[0.000005537438,0.0003530684,0.5004348,0.00004742934,0.001983889,0.00007469336,0.001507223,0.0002639025,0.4953295],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4038784,"threshold_uncertainty_score":0.8400213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1531366665921439,"score_gpt":0.3376372985522201,"score_spread":0.1845006319600762,"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."}}