{"id":"W1975673384","doi":"10.1002/meet.1450390112","title":"The impact of the introduction of web information systems (WIS) on information policies: An analysis of the Canadian federal government policies related to WIS*","year":2002,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Web Applications and Data Management","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université de Montréal","funders":"","keywords":"Context (archaeology); Government (linguistics); Policy analysis; Treasury; Information system; Public policy; Business; Computer science; Public administration; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01063952,0.0003369594,0.0003997095,0.004855445,0.006579373,0.007553873,0.001311032,0.001059426,0.001926315],"category_scores_gemma":[0.04227103,0.0003461749,0.0006715741,0.00788272,0.00360141,0.001430962,0.001426993,0.002049383,0.0001445799],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2119768,"about_ca_system_score_gemma":0.1815416,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937323,"about_ca_topic_score_gemma":0.9912027,"domain_scores_codex":[0.974227,0.00256696,0.0005460919,0.0006408886,0.0162384,0.005780738],"domain_scores_gemma":[0.9322344,0.01459806,0.004888447,0.001742878,0.04298757,0.003548571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005982998,0.0004154509,0.5802011,0.000513237,0.000403004,0.0005801841,0.008753675,0.07006188,0.004067383,0.2056312,0.02815527,0.1006192],"study_design_scores_gemma":[0.00003038834,0.0001411193,0.910301,0.000196957,0.0002008646,0.00005361778,0.01020552,0.01263872,0.002117781,0.002370483,0.06161489,0.0001286671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8714895,0.001368508,0.0008440068,0.00853499,0.00004969348,0.0002290592,0.002584213,0.00007226451,0.1148278],"genre_scores_gemma":[0.9921384,0.0007811522,0.0007367144,0.0005808991,0.00001269892,0.0000495219,0.0007135882,0.00001532023,0.004971857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7880232,"threshold_uncertainty_score":0.9139953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007104806483696822,"score_gpt":0.2428869733389019,"score_spread":0.2357821668552051,"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."}}