{"id":"W3179951656","doi":"10.1111/isj.12359","title":"Citizens influencing public policy‐making: Resourcing as source of relational power in e‐participation platforms","year":2021,"lang":"en","type":"article","venue":"Information Systems Journal","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Power (physics); Identification (biology); Public relations; Process (computing); Element (criminal law); Public participation; Political science; Public engagement; Sociology; Public administration; Knowledge management; Business; Computer science; Law","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":[0.009407056,0.0004019295,0.0003524274,0.002304438,0.006592807,0.01135304,0.001126965,0.002172138,0.005685222],"category_scores_gemma":[0.01738479,0.0004216456,0.0004317714,0.002350281,0.01929277,0.009008182,0.01049623,0.00160268,0.0003140964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004516327,"about_ca_system_score_gemma":0.005589239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005946174,"about_ca_topic_score_gemma":0.005670962,"domain_scores_codex":[0.9899441,0.007256191,0.0002249318,0.000523098,0.0009842454,0.0010675],"domain_scores_gemma":[0.9827087,0.01203548,0.002048231,0.001335714,0.0008659244,0.001005959],"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":[0.00009859826,0.0002019799,0.03706754,0.0001976159,0.00005666138,0.001297762,0.4073601,0.001530722,0.001950673,0.5149267,0.001017577,0.03429396],"study_design_scores_gemma":[0.00006147484,0.0001258331,0.03376843,0.0006007824,0.00007204527,0.0004531991,0.6025335,0.006485475,0.001954506,0.2834408,0.07041117,0.00009284433],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7953074,0.0003580943,0.01718441,0.00797281,0.00004823157,0.0001536043,0.00005773361,0.000040736,0.1788769],"genre_scores_gemma":[0.9987809,0.00005083309,0.0004546481,0.00005982049,0.00000437539,0.00002043828,0.000006723705,0.000005586829,0.0006166365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01135304,"threshold_uncertainty_score":0.04974985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03446842187941617,"score_gpt":0.3160385619685529,"score_spread":0.2815701400891367,"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."}}