{"id":"W4309241573","doi":"10.1017/9781009082662","title":"Monetary Redress for Abuse in State Care","year":2022,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Legal principles and applications","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Redress; State (computer science); Political science; Computer science; Programming language; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002346554,0.000194938,0.0001906593,0.0004633708,0.005759441,0.004869995,0.000797946,0.002555207,0.007794839],"category_scores_gemma":[0.005510936,0.0002178161,0.0002490492,0.0006209394,0.008015583,0.003463927,0.004279212,0.003711002,0.0006103771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005192505,"about_ca_system_score_gemma":0.007825634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01919959,"about_ca_topic_score_gemma":0.04959065,"domain_scores_codex":[0.9976438,0.001252147,0.00004253743,0.0001019669,0.0003973258,0.0005622258],"domain_scores_gemma":[0.9987657,0.0007618971,0.00008076241,0.00006493924,0.0001116554,0.0002150417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001524468,0.00006419844,0.00083766,0.00008036346,0.000005662227,0.0001767365,0.0413099,0.0003454882,0.0001675458,0.8060941,0.1081761,0.04272701],"study_design_scores_gemma":[0.00001333561,0.00008114584,0.002674774,0.0006213592,0.00001157502,0.0002143081,0.04329351,0.0004872987,0.0004057555,0.08381115,0.868359,0.00002686005],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04823402,0.01209092,0.003611295,0.1470593,0.002056533,0.0001224192,0.00004330599,0.00008369282,0.7866985],"genre_scores_gemma":[0.6849068,0.01035765,0.00184593,0.03123964,0.0005928574,0.0002046279,0.00004031265,0.00006136419,0.270751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01919959,"threshold_uncertainty_score":0.03817564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02579847396822454,"score_gpt":0.2486780796455574,"score_spread":0.2228796056773328,"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."}}