{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006449575,0.0002119504,0.0004515355,0.003911166,0.01312713,0.01100404,0.001768272,0.001409971,0.006902975],"category_scores_gemma":[0.04337911,0.000343491,0.0003053582,0.003518985,0.01648034,0.004651077,0.005262118,0.001657644,0.0002407177],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09194537,"about_ca_system_score_gemma":0.05922741,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9058195,"about_ca_topic_score_gemma":0.9312046,"domain_scores_codex":[0.9931031,0.001343003,0.0001975662,0.000773481,0.002484909,0.002097838],"domain_scores_gemma":[0.9744017,0.007005468,0.004949982,0.002325926,0.007316673,0.004000223],"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":[0.0002478156,0.0001217376,0.2068459,0.0001096256,0.00007925143,0.0009680441,0.07483675,0.007267355,0.001520258,0.6160412,0.00807326,0.08388874],"study_design_scores_gemma":[0.0001265134,0.0001933276,0.5500323,0.0004382499,0.0001729078,0.0004605258,0.1157588,0.02400457,0.002294571,0.1789267,0.1272094,0.0003820268],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8737209,0.0003261011,0.00506542,0.005870319,0.00004691002,0.0001089116,0.0002788961,0.00007389447,0.1145087],"genre_scores_gemma":[0.998159,0.00003039866,0.0003279429,0.00002844877,0.000003031059,0.000005221829,0.00001784418,0.000004062771,0.001424078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9080546,"threshold_uncertainty_score":0.6671135,"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."}}