{"id":"W2599627995","doi":"10.1007/978-3-319-53474-9","title":"Data Science and Big Data: An Environment of Computational Intelligence","year":2017,"lang":"en","type":"book","venue":"Studies in big data","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Implementation; Computer science; Data science; Range (aeronautics); Big data; Management science; Software engineering; Data mining; Engineering","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":[0.001886644,0.001647006,0.001627506,0.004534319,0.00121819,0.01188587,0.001383638,0.001982887,0.01232275],"category_scores_gemma":[0.005170644,0.0008185444,0.0008105561,0.009311464,0.007222626,0.0177362,0.004122095,0.007129818,0.005255069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002358173,"about_ca_system_score_gemma":0.004114314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001402655,"about_ca_topic_score_gemma":0.002376469,"domain_scores_codex":[0.9980494,0.0004573398,0.0001084333,0.000172477,0.001131522,0.00008099269],"domain_scores_gemma":[0.9937664,0.004644559,0.0002094366,0.0004759763,0.0005255429,0.0003781113],"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":[0.0000157365,0.00002685924,0.0001591396,0.0008770594,0.00003590854,0.00006884718,0.0004667134,0.0006057472,0.0003763913,0.5524273,0.3549805,0.08995979],"study_design_scores_gemma":[0.000005842965,0.000007240437,0.000138363,0.0003564974,0.000008175646,0.0001321457,0.0001479906,0.0005638733,0.0001097735,0.3050677,0.6934491,0.00001329982],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.00105849,0.5210124,0.0705711,0.04222422,0.01414613,0.0001279268,0.0007738741,0.001049232,0.3490367],"genre_scores_gemma":[0.04861274,0.4724879,0.09966628,0.03373535,0.03199711,0.0005761737,0.002047846,0.00189793,0.3089788],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01232275,"threshold_uncertainty_score":0.0412237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.558963537269182,"score_gpt":0.4062172622608407,"score_spread":0.1527462750083413,"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."}}