{"id":"W2328239710","doi":"10.1017/s0008423914000420","title":"Balancing a House of Cards: Throughput legitimacy in Canadian Governance Networks","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Political Science","topic":"Public Policy and Administration Research","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Legitimacy; Corporate governance; Institution; Throughput; Network governance; Political science; Public administration; Law and economics; Business; Sociology; Law; Computer science; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004423087,0.00007302646,0.0001895874,0.0003409687,0.0004377374,0.0001947367,0.0008626209,0.00007363014,0.000131617],"category_scores_gemma":[0.007210666,0.00007007435,0.00005559753,0.001102899,0.002162023,0.0005885527,0.00001407703,0.0003058839,0.000005310904],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650762,"about_ca_system_score_gemma":0.03854668,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9843193,"about_ca_topic_score_gemma":0.9943043,"domain_scores_codex":[0.9968566,0.0001724434,0.0003490614,0.0001421904,0.0006157309,0.001864018],"domain_scores_gemma":[0.9944339,0.0002211071,0.0001132699,0.0001393439,0.0003488811,0.004743429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000001184815,0.000004860075,0.02468156,0.000002611095,0.00000148693,0.00003092666,0.0007182546,0.00007633377,0.00001056723,0.9731007,0.0005283929,0.0008431312],"study_design_scores_gemma":[0.0004934278,0.000183424,0.8605764,0.000206878,0.000007628402,0.00005167424,0.002331628,0.003297738,0.0001650271,0.01580841,0.1165648,0.0003129571],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7433082,0.0001735151,0.0005711812,0.04351697,0.000894624,0.0002211526,0.00004816012,0.0000109574,0.2112552],"genre_scores_gemma":[0.998327,0.000007985789,0.0001144019,0.001035439,0.0003893893,9.575482e-7,1.396894e-7,0.000005390375,0.0001193203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9572923,"threshold_uncertainty_score":0.9669039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0253049329723317,"score_gpt":0.3511500785108417,"score_spread":0.32584514553851,"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."}}