{"id":"W4378802969","doi":"10.1016/j.jsis.2023.101777","title":"Welcome to the second issue of Volume 32 of the Journal of Strategic Information Systems","year":2023,"lang":"en","type":"article","venue":"The Journal of Strategic Information Systems","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Volume (thermodynamics); Political science; Library science; Business; Computer science; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.005297766,0.0001939848,0.0004505183,0.0005821355,0.0002192475,0.0005100828,0.001355989,0.0001038559,0.0001098049],"category_scores_gemma":[0.00009836659,0.00009246953,0.0001439659,0.00155308,0.0001009627,0.006227559,0.0001402884,0.000367242,0.0002762591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004752259,"about_ca_system_score_gemma":0.0001994215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003968609,"about_ca_topic_score_gemma":0.0000206355,"domain_scores_codex":[0.9958928,0.0001084363,0.002567747,0.00003841288,0.001155949,0.0002366285],"domain_scores_gemma":[0.9914114,0.0001121382,0.005600928,0.0003932959,0.002457034,0.00002521878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001669604,0.0001899921,0.003998158,0.0184909,0.001132751,0.000008044492,0.02220235,0.6008615,0.003391124,0.1431361,0.2008766,0.004042871],"study_design_scores_gemma":[0.002252534,0.0004567054,0.01169125,0.004025383,0.0006261508,0.001177589,0.3106377,0.08808114,0.0009379727,0.00185048,0.5775152,0.000747876],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9559959,0.0004079569,0.002547558,0.001504866,0.009352718,0.001050782,0.0001014442,0.00002697499,0.02901182],"genre_scores_gemma":[0.9983931,0.00006907058,0.000005017497,0.0001732784,0.001078305,0.000002800191,0.00001313872,0.000008031168,0.000257252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5127804,"threshold_uncertainty_score":0.491874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07954311318095586,"score_gpt":0.269531318370101,"score_spread":0.1899882051891452,"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."}}