{"id":"W2910420361","doi":"10.22230/src.2019v10n1a321","title":"Digital Science – Big Data and Diversified Risk","year":2019,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multinational corporation; Publishing; Scientific publishing; Big data; Digital library; Space (punctuation); Data science; World Wide Web; Computer science; Business; Political science; Public relations","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009337329,0.000375818,0.0006383467,0.003265386,0.002200532,0.01401071,0.0009825967,0.003301109,0.00598813],"category_scores_gemma":[0.02018379,0.0002948475,0.0004067293,0.005240768,0.009360368,0.01523618,0.006272565,0.004944353,0.0007142556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003377473,"about_ca_system_score_gemma":0.00254096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001007223,"about_ca_topic_score_gemma":0.001126731,"domain_scores_codex":[0.9945394,0.002420512,0.0002276317,0.0004840359,0.002013989,0.0003144275],"domain_scores_gemma":[0.9803883,0.01259041,0.002012528,0.001989962,0.001817584,0.001201261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004303589,0.00003331183,0.005155314,0.0002012383,0.00005055136,0.0002896602,0.001023415,0.003020833,0.000188135,0.9155748,0.01856874,0.05585088],"study_design_scores_gemma":[0.000005879115,0.00001663994,0.001582613,0.000463108,0.000009679802,0.0002788357,0.00153535,0.004236513,0.0002072851,0.935543,0.05609372,0.00002737399],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08677632,0.09178116,0.133568,0.4456226,0.004383163,0.0001600235,0.0009464698,0.0003310245,0.2364312],"genre_scores_gemma":[0.9182449,0.04061774,0.01454151,0.01180716,0.006273344,0.00009048841,0.0002623045,0.00008292929,0.008079618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01401071,"threshold_uncertainty_score":0.04938114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4635895852101309,"score_gpt":0.4798717061692719,"score_spread":0.016282120959141,"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."}}