{"id":"W7029424286","doi":"","title":"KEY FACTORS INFLUENCING THE ADOPTION OF\\nE-GOVERNMENT IN AUSTRALIAN\\nPUBLIC SECTORS","year":2002,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Agency (philosophy); Work (physics); Context (archaeology); Key (lock); Private sector","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00280736,0.0001295442,0.0001678981,0.001012911,0.002574576,0.002113462,0.0005765898,0.0004832452,0.001980104],"category_scores_gemma":[0.01048115,0.0002399061,0.0002311597,0.001597111,0.000922867,0.0009303594,0.002202834,0.0008641383,0.0003016016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004491853,"about_ca_system_score_gemma":0.003617027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1070977,"about_ca_topic_score_gemma":0.1278251,"domain_scores_codex":[0.9971939,0.001150226,0.0001674444,0.0001537311,0.0006409692,0.000693651],"domain_scores_gemma":[0.9929615,0.001680871,0.001902623,0.0003524946,0.001819978,0.001282711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009495691,0.0004658031,0.7642443,0.0001333259,0.00002783078,0.0008691904,0.1807223,0.0002496121,0.00150142,0.002721817,0.001172865,0.04779661],"study_design_scores_gemma":[0.000003282578,0.00007415299,0.9059364,0.00007347747,0.00001187315,0.0001065208,0.08608595,0.0006910049,0.0002093584,0.0002422516,0.006552862,0.00001289644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957027,0.00008841775,0.00006464772,0.0004234507,0.000002564467,0.00001330576,0.0000090183,0.000001967182,0.003693903],"genre_scores_gemma":[0.9987097,0.0001566518,0.00009604386,0.00006480864,0.000001453872,0.000005834119,0.00001236232,0.000001164528,0.0009519525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1070977,"threshold_uncertainty_score":0.2129487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02993126290378207,"score_gpt":0.2560079128562586,"score_spread":0.2260766499524766,"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."}}