{"id":"W4388741987","doi":"10.1016/j.jsis.2023.101807","title":"Welcome to the fourth 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":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Volume (thermodynamics); Information system; Political science; Library science; Computer science; Physics; Law; Thermodynamics","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":[0.003430378,0.002193861,0.002887189,0.003855327,0.003768112,0.01045916,0.002306872,0.0102897,0.2069485],"category_scores_gemma":[0.01475854,0.0009962986,0.001793076,0.002243785,0.001180539,0.004926904,0.003906256,0.009368313,0.1095009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001292351,"about_ca_system_score_gemma":0.00292188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001327656,"about_ca_topic_score_gemma":0.006320582,"domain_scores_codex":[0.9977766,0.0002246269,0.0001628994,0.0002216875,0.001285898,0.0003282064],"domain_scores_gemma":[0.9757342,0.004427833,0.001792726,0.0006993719,0.007929114,0.009416918],"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":[0.00003631017,0.0000429919,0.00009641725,0.00006974082,0.000005369538,0.00004047996,0.00001002575,0.0000118974,0.000163891,0.000120289,0.9934705,0.005931954],"study_design_scores_gemma":[0.00006007638,0.00009901246,0.001447228,0.000150629,0.00001658129,0.00007007021,0.0001323833,0.0001189517,0.0001259682,0.0005360999,0.997216,0.00002704853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0005116033,0.003511344,0.0003960169,0.1040854,0.8756155,0.0001635038,0.0004148289,0.0002887953,0.01501306],"genre_scores_gemma":[0.002135121,0.00479045,0.0005439398,0.08612993,0.6110431,0.0002534065,0.0008849077,0.0005805832,0.2936385],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2069485,"threshold_uncertainty_score":0.6923115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08822652012568821,"score_gpt":0.2731015507997225,"score_spread":0.1848750306740343,"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."}}