{"id":"W4301165981","doi":"10.1561/2900000016","title":"Empirical Research in Information Systems: 2001–2015","year":2018,"lang":"en","type":"article","venue":"Foundations and Trends® in Information Systems","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Data science; Computer science","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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01209914,0.0004129916,0.0004031144,0.02588303,0.001600008,0.006242818,0.001025997,0.001657856,0.006213231],"category_scores_gemma":[0.06813673,0.0004952566,0.0005149232,0.04891559,0.00210496,0.006312844,0.002289746,0.001952566,0.00142859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009886056,"about_ca_system_score_gemma":0.006236981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01488621,"about_ca_topic_score_gemma":0.01724995,"domain_scores_codex":[0.9898661,0.001608729,0.002443796,0.001456328,0.004055177,0.0005698327],"domain_scores_gemma":[0.8996761,0.04504583,0.01918199,0.003505954,0.02965453,0.002935569],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004319653,0.0003092442,0.398642,0.01146527,0.0004814902,0.0007728019,0.01882581,0.002126597,0.001507978,0.09546556,0.1039529,0.3660183],"study_design_scores_gemma":[0.00001939708,0.0001050257,0.5310219,0.004238092,0.0001498212,0.0004254576,0.008308516,0.0003549718,0.001586734,0.003244122,0.4504978,0.0000481182],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.4930804,0.2428581,0.00582872,0.04105614,0.003216953,0.0004837418,0.05366798,0.0001938069,0.1596141],"genre_scores_gemma":[0.840851,0.1000594,0.007147521,0.004442509,0.002301654,0.0005044504,0.02596745,0.00009376174,0.01863226],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9879009,"threshold_uncertainty_score":0.07172871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1383840192365303,"score_gpt":0.4445553621895925,"score_spread":0.3061713429530621,"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."}}