{"id":"W4200484450","doi":"10.3138/9781487533014-003","title":"Acknowledgments","year":2021,"lang":"en","type":"book-chapter","venue":"University of Toronto Press eBooks","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006344262,0.0001047158,0.0002079613,0.000007982301,0.0004715,0.0000130034,0.0002104051,0.0001975726,0.002020408],"category_scores_gemma":[0.000007154116,0.0001258972,0.0001674222,5.249689e-7,0.0003899899,0.00006355614,0.0001960012,0.00008005668,0.000008167984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002631003,"about_ca_system_score_gemma":0.0001612049,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.133883,"about_ca_topic_score_gemma":0.2984421,"domain_scores_codex":[0.9993402,0.00002614959,0.0000782389,0.0001780157,0.000248159,0.0001291833],"domain_scores_gemma":[0.9993648,0.00002887272,0.0001142034,0.0001815474,0.000232774,0.00007782131],"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":[0.00001145776,0.00000993395,0.000001635349,0.00002835225,0.0001943128,0.00003189762,0.02046107,6.645066e-7,0.000003346073,0.9498963,0.02271167,0.006649408],"study_design_scores_gemma":[0.000135191,0.00001217544,0.00001051785,0.00008316813,0.0001014445,1.652493e-7,0.0006309045,8.396996e-7,0.000003937042,0.000306805,0.9985896,0.0001252812],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000004045226,0.003585617,0.00001393588,0.00003747264,0.0003023836,0.0001441431,0.00004457219,0.00002760691,0.9958403],"genre_scores_gemma":[0.0002938927,0.001503972,0.0001433258,0.000007874479,0.0001612896,6.882948e-8,0.000008245007,0.000008371246,0.9978729],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9758779,"threshold_uncertainty_score":0.9988919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0322461920613242,"score_gpt":0.2490912643407029,"score_spread":0.2168450722793787,"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."}}