{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007397455,0.0004250775,0.0007187962,0.02183224,0.01022127,0.01162294,0.001434145,0.0006304705,0.005608911],"category_scores_gemma":[0.02295445,0.0003039771,0.0003915493,0.05288275,0.003761599,0.002075606,0.002735164,0.001009066,0.0003151661],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1906377,"about_ca_system_score_gemma":0.3146379,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938601,"about_ca_topic_score_gemma":0.9943532,"domain_scores_codex":[0.9893706,0.001101771,0.0004923422,0.0007759402,0.006204976,0.002054504],"domain_scores_gemma":[0.9478832,0.009884462,0.003846986,0.0007916106,0.03253202,0.005061754],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003692444,0.0002187176,0.4081001,0.003314411,0.0003680711,0.001051419,0.07601754,0.003350633,0.003056674,0.2120671,0.04397634,0.2481098],"study_design_scores_gemma":[0.00005039186,0.0001515884,0.6530914,0.00167223,0.0002493119,0.0001743692,0.0790016,0.003352606,0.002737171,0.00756334,0.2517904,0.0001656155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7142846,0.02329046,0.002110034,0.02627095,0.0003513681,0.0003453537,0.007379746,0.0001484081,0.2258191],"genre_scores_gemma":[0.9784322,0.007608342,0.001960941,0.0009803256,0.00004968279,0.00006241038,0.001384453,0.00002879859,0.009492816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9926025,"threshold_uncertainty_score":0.9387456,"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."}}