{"id":"W3200313530","doi":"","title":"Relocating Officially Induced Error of Law: Fitting the Remedy to the Wrong","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Criminal Law and Evidence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mistake; Excuse; Law; Jurisdiction; Supreme court; Ignorance; Political science; Commission; State (computer science); Criminal law; Common 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":[0.02833764,0.0005398824,0.0009140279,0.002078468,0.007035114,0.01249058,0.004494583,0.01819615,0.003222558],"category_scores_gemma":[0.1011126,0.000706281,0.001157087,0.001039571,0.03739195,0.0139068,0.01100392,0.01477728,0.0009546753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003442696,"about_ca_system_score_gemma":0.01824751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006522305,"about_ca_topic_score_gemma":0.007344245,"domain_scores_codex":[0.967903,0.0127206,0.002452996,0.004626636,0.009190762,0.003106073],"domain_scores_gemma":[0.9526179,0.01755937,0.005481129,0.01504108,0.007814755,0.00148565],"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":[0.00001582861,0.00006837791,0.00196377,0.00005662936,0.00002014735,0.000318139,0.005738918,0.0006748826,0.0004835912,0.9655542,0.004371686,0.02073384],"study_design_scores_gemma":[0.00007330275,0.0001895033,0.001610746,0.0008080431,0.00007364497,0.0009760664,0.006497433,0.00488655,0.002718436,0.9067546,0.07529835,0.0001134348],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1196401,0.002420253,0.3597445,0.2244887,0.004024301,0.0002476426,0.00007152804,0.001174315,0.2881887],"genre_scores_gemma":[0.9316286,0.0008830089,0.03115232,0.02154117,0.0008283535,0.0001412259,0.00003076277,0.0002487778,0.01354573],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02833764,"threshold_uncertainty_score":0.1498656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04459809228247275,"score_gpt":0.3503929474665618,"score_spread":0.3057948551840891,"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."}}