{"id":"W4392336881","doi":"10.1515/9781580467551-002","title":"Acknowledgments","year":2010,"lang":"en","type":"book-chapter","venue":"Boydell and Brewer eBooks","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003528686,0.000848615,0.0007510912,0.001507139,0.002363494,0.003322529,0.001841896,0.001260081,0.3046047],"category_scores_gemma":[0.01638322,0.0002888509,0.0005031574,0.001360353,0.0007595345,0.002576714,0.003700406,0.003245636,0.2238935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003021436,"about_ca_system_score_gemma":0.004521275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005729627,"about_ca_topic_score_gemma":0.01189617,"domain_scores_codex":[0.996206,0.000848322,0.0001670671,0.0005780219,0.001944441,0.0002561392],"domain_scores_gemma":[0.9881275,0.001231299,0.0003838909,0.000869075,0.007260278,0.002127985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002454388,0.00001144544,0.0002499501,0.00008099552,0.000003255356,0.0000917411,0.0004890594,0.00003565127,0.0002242276,0.007832211,0.9632338,0.0277231],"study_design_scores_gemma":[0.000002864208,0.00000350064,0.000186004,0.0000660899,0.000001953483,0.00008523666,0.0002750901,0.00002233535,0.00006865169,0.001247514,0.9980375,0.000003261344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004428263,0.008074574,0.0186425,0.1310737,0.07340602,0.0009976299,0.03042369,0.003189053,0.7297645],"genre_scores_gemma":[0.01443421,0.00281128,0.01293321,0.02098665,0.003782832,0.0006226207,0.01067204,0.001818426,0.9319388],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3046047,"threshold_uncertainty_score":0.991897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02100460182809708,"score_gpt":0.2670745201598704,"score_spread":0.2460699183317733,"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."}}