{"id":"W4403447380","doi":"10.1109/acit62333.2024.10712496","title":"Mathematical Methods for Reducing the Search Space for Solutions in “Big Data” Analysis and Management","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Data Processing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Space (punctuation); Big data; Data science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005530584,0.002015029,0.001558352,0.003108488,0.001147581,0.003093015,0.002135354,0.001648834,0.0034222],"category_scores_gemma":[0.01791528,0.001082533,0.002739058,0.002787034,0.004797792,0.006270508,0.003946042,0.005001779,0.0009144607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001705244,"about_ca_system_score_gemma":0.002453288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001281528,"about_ca_topic_score_gemma":0.001359452,"domain_scores_codex":[0.9972817,0.001135378,0.00021391,0.0003349432,0.0009147542,0.0001194126],"domain_scores_gemma":[0.9902631,0.007559713,0.0007186276,0.0007505724,0.0005810919,0.0001269027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003637646,0.00007797806,0.0004492654,0.0008224669,0.0001332463,0.00005995332,0.0001524435,0.2248926,0.001181805,0.7171862,0.003372596,0.05163507],"study_design_scores_gemma":[0.0000221846,0.00006420478,0.0001512937,0.0001631751,0.00003378615,0.00004841447,0.00006113401,0.4722972,0.0009711929,0.5165164,0.009632597,0.00003846929],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0010781,0.001713598,0.9940299,0.0008490139,0.0001021494,0.00004133975,0.00005399067,0.00005935565,0.002072453],"genre_scores_gemma":[0.08932722,0.008968052,0.8952423,0.0007706743,0.0008317157,0.0008265605,0.0003447147,0.000231769,0.00345688],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005530584,"threshold_uncertainty_score":0.02924883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1560118521333908,"score_gpt":0.4483368284342033,"score_spread":0.2923249763008126,"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."}}