{"id":"W1578984176","doi":"10.4301/s1807-17752013000300000","title":"Editorial","year":2013,"lang":"en","type":"editorial","venue":"Journal of Information Systems and Technology Management","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"SciELO; Library science; Political science; Quarter (Canadian coin); Czech; Globalization; Geography; Law; MEDLINE","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008134283,0.0002809888,0.0005188988,0.002209094,0.0001271523,0.001056268,0.0006978377,0.0008817891,0.00004226267],"category_scores_gemma":[0.0003177905,0.0002168678,0.00006675075,0.0006530193,0.00009359813,0.004556382,0.0004584213,0.0007218221,0.0004206584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006151093,"about_ca_system_score_gemma":0.00004498894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009555042,"about_ca_topic_score_gemma":0.000001717609,"domain_scores_codex":[0.9974032,0.000005635771,0.001217762,0.0001315391,0.001002017,0.00023984],"domain_scores_gemma":[0.9950434,0.00004207257,0.002417482,0.0003050446,0.002176993,0.00001498683],"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":[0.00001736877,0.00001577897,0.00002006566,0.001175551,0.0001187698,0.00000379399,0.000005799907,0.000008677313,5.60662e-7,0.01897659,0.9680618,0.01159526],"study_design_scores_gemma":[0.0004457486,0.00002377359,0.000006294939,0.0004878456,0.0001331324,0.000008374744,0.0004112811,0.0001050093,7.682423e-7,0.0008172415,0.997344,0.0002165168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003950849,0.0004550111,0.001424324,0.0003160242,0.9887158,0.000342831,0.00001200268,0.00007331399,0.008621206],"genre_scores_gemma":[0.0006918814,0.0007121422,0.0001269491,0.00005177122,0.997812,0.00002979373,0.00008791793,0.00001665615,0.0004708359],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02928223,"threshold_uncertainty_score":0.9999807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115345558675047,"score_gpt":0.2381804528991126,"score_spread":0.2270269973123621,"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."}}