{"id":"W4234131857","doi":"10.1007/978-1-4939-7131-2_100062","title":"Big Data","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","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":["open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007566297,0.0001589833,0.0002363088,0.0001819437,0.000104236,0.0002244698,0.006932908,0.0003484504,0.01816822],"category_scores_gemma":[0.0005524127,0.00009981154,0.00005075485,0.00008546567,0.0003361898,0.0001213478,0.004131954,0.0001979194,0.0370796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001006241,"about_ca_system_score_gemma":0.0000575223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000011096,"about_ca_topic_score_gemma":0.0001874818,"domain_scores_codex":[0.9977232,0.000003734549,0.0004303898,0.0009279493,0.0007790202,0.0001357461],"domain_scores_gemma":[0.9913297,0.0002844437,0.0002189253,0.007940647,0.0001748788,0.00005145898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[2.939832e-7,0.000001425321,6.312526e-7,2.028268e-7,0.000003584489,4.897467e-7,7.833979e-7,3.222427e-9,0.000001023154,0.1993393,0.5398554,0.2607969],"study_design_scores_gemma":[0.00001485368,0.000007150698,0.000003374588,0.000003846701,0.000005276038,0.00000200185,0.00001226415,0.00001913445,0.000005881678,0.3952972,0.6045448,0.00008421858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000001648182,0.0001417473,0.009763086,0.002743566,0.0003617102,0.0001252652,0.001678874,0.0001902514,0.9849939],"genre_scores_gemma":[0.0001359984,0.0001828694,0.003692373,0.0003882852,0.0004925173,0.000003180667,0.0004090026,0.00001595364,0.9946798],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2607127,"threshold_uncertainty_score":0.9984401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7146096992358584,"score_gpt":0.4311886544452919,"score_spread":0.2834210447905665,"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."}}