{"id":"W3108361835","doi":"10.4018/978-1-7998-3473-1.ch125","title":"Big Data Analytics and Mining for Knowledge Discovery","year":2020,"lang":"en","type":"book-chapter","venue":"Advances in logistics, operations, and management science book series","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Big data; Computer science; Data science; Knowledge extraction; Analytics; Variety (cybernetics); Data mining; Data analysis; Artificial intelligence","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":[0.0004108255,0.0002399203,0.0002670033,0.0002230062,0.0005451987,0.0009978138,0.001415469,0.00004770554,0.000001147877],"category_scores_gemma":[0.0001377917,0.0002301814,0.00001699645,0.0001518069,0.001132099,0.005154478,0.002063193,0.00009784482,0.000003340104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003945486,"about_ca_system_score_gemma":0.0001155793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003992384,"about_ca_topic_score_gemma":0.0002323879,"domain_scores_codex":[0.9980778,0.000006736008,0.0003617109,0.00110767,0.0002085093,0.000237537],"domain_scores_gemma":[0.9986976,0.0001091169,0.00009853179,0.0009252636,0.00007834655,0.00009116682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002263128,0.00001026787,0.000006099439,0.0001083803,0.000009169598,0.000003847943,0.0001331131,0.0002308199,0.000001250858,0.9021584,0.0007677697,0.09656865],"study_design_scores_gemma":[0.000172452,0.00008937164,0.00002515983,0.0001489158,0.00004376045,0.000004507788,0.0002216766,0.099107,0.000004572094,0.02490751,0.874912,0.0003630416],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[7.790833e-7,0.0092326,0.9128487,0.001155363,0.0005005903,0.0006047492,0.0003668935,0.0000559973,0.07523434],"genre_scores_gemma":[0.0006121721,0.1276722,0.7159886,0.0008655899,0.0003714961,0.000146738,0.0004625372,0.00003245728,0.1538483],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8772509,"threshold_uncertainty_score":0.9621941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08380328567767632,"score_gpt":0.311709269629538,"score_spread":0.2279059839518617,"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."}}