{"id":"W2294226734","doi":"10.1007/978-3-319-18296-4_39","title":"An Architecture and Methods for Big Data Analysis","year":2015,"lang":"en","type":"book-chapter","venue":"Advances in intelligent systems and computing","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Architecture; Computer science; Big data; Computer architecture; Data science; Data mining; History; Archaeology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002460096,0.0004185084,0.000854852,0.0005905018,0.0001775759,0.0003605122,0.001500167,0.0001701054,5.377562e-7],"category_scores_gemma":[0.00004772325,0.0003612908,0.00009268496,0.0002191463,0.00008787798,0.00006405094,0.001597711,0.0003204853,9.532812e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005602977,"about_ca_system_score_gemma":0.00003265544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007254689,"about_ca_topic_score_gemma":0.00006023768,"domain_scores_codex":[0.9970977,0.0001491,0.000715057,0.001409692,0.0002656394,0.0003628056],"domain_scores_gemma":[0.9971455,0.0005838096,0.0004479276,0.001543094,0.0001051141,0.0001745245],"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":[0.000005079597,0.00001266458,0.00005209638,0.0002225161,0.0002003843,0.000006346362,0.0004700968,0.09468565,5.788261e-7,0.06724942,0.00004158186,0.8370536],"study_design_scores_gemma":[0.0001008197,0.00009042136,0.000005750023,0.0002893721,0.0001187684,0.00001597494,0.00008782507,0.632696,8.723541e-7,0.0124462,0.3538226,0.0003254047],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000059796,0.06230931,0.9271942,0.00005498454,0.001381475,0.0005146776,0.00001335274,0.0001063597,0.008365873],"genre_scores_gemma":[0.08431776,0.003758017,0.8670443,0.0003413594,0.005342601,0.00005168943,0.0002926639,0.0002272671,0.03862436],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8367282,"threshold_uncertainty_score":0.9998839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07888867604455016,"score_gpt":0.3713177841250457,"score_spread":0.2924291080804955,"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."}}