{"id":"W3180738608","doi":"10.1177/10185291211027455","title":"Improving Effectiveness of Rural Information and Communication Technology Offices: The Case of Qazvin Province in Iran","year":2021,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Rural Development","topic":"ICT Impact and Policies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Information and Communications Technology; Business; Rural area; Government (linguistics); Restructuring; Productivity; Rural management; Economic growth; Agriculture; Marketing; Knowledge management; Geography; Political science; Rural development; Computer science; Economics; Finance","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":[],"consensus_categories":[],"category_scores_codex":[0.001232275,0.0002557059,0.000193043,0.0009883803,0.003437579,0.001446957,0.000950831,0.0008681969,0.002498613],"category_scores_gemma":[0.001926386,0.0001880653,0.0002430219,0.001192312,0.001438742,0.0008345414,0.0009074294,0.0006016599,0.0001885691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005961552,"about_ca_system_score_gemma":0.008944386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1257538,"about_ca_topic_score_gemma":0.1960282,"domain_scores_codex":[0.9989114,0.0003813609,0.0000237326,0.00005401688,0.000162882,0.0004666987],"domain_scores_gemma":[0.9988043,0.0004201409,0.0002028587,0.00004225957,0.0002896913,0.0002407395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005327058,0.002220933,0.5317057,0.001073139,0.0001331529,0.0610585,0.1746503,0.006714803,0.009656728,0.02642353,0.01254988,0.1732806],"study_design_scores_gemma":[0.00016516,0.0006654438,0.4847456,0.0002797322,0.0001561005,0.004596147,0.4579809,0.00656581,0.002053652,0.002569338,0.04015661,0.00006551779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940279,0.0001539718,0.0001295172,0.0009361356,0.000006677784,0.00003439733,0.00002262422,0.000007569663,0.004681205],"genre_scores_gemma":[0.9983912,0.0001790745,0.0002987612,0.00006716817,0.000004499961,0.000006816526,0.00001496628,0.000002282981,0.001035198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1257538,"threshold_uncertainty_score":0.2500436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005441103465939752,"score_gpt":0.214371073487446,"score_spread":0.2089299700215062,"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."}}