{"id":"W2809802560","doi":"10.1111/capa.12272","title":"Third party political participation and anti‐collusion rules","year":2018,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Collusion; Politics; Federal election; Context (archaeology); Commission; Political science; Third party; Law and economics; Public administration; House of Representatives; General election; Law; Economics; Internet privacy; Microeconomics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003249134,0.00008092121,0.00008674162,0.0001084176,0.0009890983,0.0002757566,0.0001056485,0.0001356193,0.0003246438],"category_scores_gemma":[0.000720821,0.00009105552,0.00002143457,0.0002165166,0.0005558613,0.0004384172,0.000008962235,0.00007278155,0.00008749714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003415037,"about_ca_system_score_gemma":0.003586977,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2536645,"about_ca_topic_score_gemma":0.9849866,"domain_scores_codex":[0.9987285,0.00009574243,0.0001575284,0.0002002994,0.0001975012,0.0006204831],"domain_scores_gemma":[0.9983024,0.00004694463,0.00005535493,0.0001303411,0.0001291273,0.001335804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002423266,0.000007404398,0.003838339,0.000002428526,0.000003009787,0.00000524312,0.0005848152,5.057172e-9,0.00001173279,0.9678267,0.02541809,0.002299832],"study_design_scores_gemma":[0.0001018499,0.00005867087,0.0530491,0.000007253541,0.000006527737,0.00000301177,0.0003440357,0.00006327442,0.00007365733,0.005139004,0.9410207,0.0001329666],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6979154,0.0000270561,0.00006033747,0.2400002,0.0002474525,0.0002112361,0.0002140434,0.00003967033,0.06128459],"genre_scores_gemma":[0.9927175,0.00000944266,0.00006311855,0.004373667,0.0008395995,0.00001301207,0.00002933171,0.000006636624,0.001947674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9626877,"threshold_uncertainty_score":0.7607445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03875567091072375,"score_gpt":0.3273905440950524,"score_spread":0.2886348731843287,"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."}}