{"id":"W2287755163","doi":"10.1007/978-3-319-26989-4","title":"Big Data Analysis: New Algorithms for a New Society","year":2015,"lang":"en","type":"book","venue":"Studies in big data","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":111,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Big data; Volume (thermodynamics); Data science; Computer science; Artificial intelligence; 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":[0.004383737,0.002611348,0.002295994,0.005309535,0.0009936539,0.009258337,0.002496392,0.002675368,0.01032314],"category_scores_gemma":[0.01233336,0.001383948,0.001672235,0.007623565,0.00503918,0.02354487,0.004137226,0.006974445,0.009081724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563282,"about_ca_system_score_gemma":0.00248061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00118386,"about_ca_topic_score_gemma":0.00127882,"domain_scores_codex":[0.9968039,0.000610228,0.0002326216,0.0004596937,0.001815238,0.00007828935],"domain_scores_gemma":[0.9886729,0.007713064,0.0002929721,0.001416021,0.001605332,0.0002996418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000502279,0.00006486369,0.0006780599,0.001408635,0.0001810671,0.00004874331,0.0002691352,0.00283804,0.000760995,0.2005235,0.399699,0.3934777],"study_design_scores_gemma":[0.0000191304,0.00002272485,0.0004939404,0.0004515902,0.00004830224,0.0002169129,0.0001379724,0.01060394,0.000604174,0.5817857,0.405568,0.0000475202],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00140972,0.2492319,0.6227493,0.04070529,0.01103304,0.0001801378,0.001827188,0.003449424,0.06941402],"genre_scores_gemma":[0.03030109,0.1998127,0.6681327,0.01641228,0.02294959,0.0003767815,0.003670229,0.002349136,0.05599549],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01032314,"threshold_uncertainty_score":0.03453434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.62587239520841,"score_gpt":0.4210747109446639,"score_spread":0.2047976842637461,"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."}}