{"id":"W4406861135","doi":"10.1016/j.jsis.2025.101887","title":"Welcome to the first issue of Volume 34 of the Journal of Strategic Information Systems","year":2025,"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); Political science; Data science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002998151,0.002234804,0.002757892,0.003020787,0.003653743,0.0102819,0.002153394,0.01073328,0.186506],"category_scores_gemma":[0.01571517,0.001000002,0.001595188,0.001810304,0.001152467,0.005012904,0.003840761,0.009840234,0.1046964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001117021,"about_ca_system_score_gemma":0.002537554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001062095,"about_ca_topic_score_gemma":0.005569909,"domain_scores_codex":[0.998116,0.0002129612,0.0001339647,0.0002190207,0.001034984,0.0002831445],"domain_scores_gemma":[0.9763002,0.004528362,0.001617255,0.0005696984,0.006992836,0.009991627],"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":[0.00003535854,0.00003610361,0.00008792103,0.00006742509,0.000004754589,0.00004021447,0.00001114073,0.000009573314,0.0001373271,0.00010636,0.994703,0.004760889],"study_design_scores_gemma":[0.00005753557,0.00009941302,0.001415443,0.0001447509,0.00001510565,0.00008024121,0.0001666551,0.00009890747,0.0001313905,0.0005599622,0.9972012,0.00002946568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0004781082,0.003270776,0.0003090809,0.1325244,0.8507398,0.0001496185,0.0003701464,0.0002693336,0.01188872],"genre_scores_gemma":[0.002185582,0.004466563,0.0005091568,0.1175184,0.6223777,0.000224118,0.0007410661,0.000568709,0.2514087],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.186506,"threshold_uncertainty_score":0.6239249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0544980920496428,"score_gpt":0.2635422463500925,"score_spread":0.2090441543004498,"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."}}