{"id":"W1945674990","doi":"10.1002/cjas.214","title":"Investigating Information Systems Research in Canada","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Information Systems Theories and Implementation","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Productivity; Ranking (information retrieval); Perspective (graphical); Maturity (psychological); Library science; State (computer science); Political science; Sociology; Regional science; Computer science; Economics; Information retrieval; Law; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.01324273,0.0001482902,0.0002379781,0.001042574,0.003234413,0.0006955927,0.0008866249,0.00008717494,0.0001247835],"category_scores_gemma":[0.001689455,0.0001481537,0.00004454218,0.002771566,0.004407601,0.003988502,0.00001297471,0.0003239385,0.000005656259],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005174064,"about_ca_system_score_gemma":0.08277153,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9887247,"about_ca_topic_score_gemma":0.9995564,"domain_scores_codex":[0.9960665,0.0008525063,0.00111116,0.0001921862,0.0006163903,0.001161222],"domain_scores_gemma":[0.9965382,0.0003129596,0.0007537027,0.0001143503,0.001098847,0.001182004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001346526,0.00001073818,0.1053582,0.00007487347,0.00001036175,0.00008997627,0.2888426,0.0004962041,0.00002056602,0.6023315,0.0004516179,0.002299938],"study_design_scores_gemma":[0.0002960295,0.001529281,0.03048663,0.0004516669,0.000009501527,0.0003480575,0.9312615,0.0009687402,0.0002365948,0.01988574,0.01416802,0.0003582724],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8887352,0.00009287296,0.0002901838,0.0005788913,0.001011577,0.000365862,0.0000403146,0.000005293824,0.1088798],"genre_scores_gemma":[0.9976347,0.00001553262,0.001989612,0.0001280062,0.0001523478,0.00001484203,0.000004612312,0.000004246361,0.00005608879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6424189,"threshold_uncertainty_score":0.9986449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2987703583207045,"score_gpt":0.39935099923635,"score_spread":0.1005806409156455,"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."}}