{"id":"W4296009488","doi":"10.2139/ssrn.4209817","title":"Remedying Unreasonable Delay","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Criminal Law and Evidence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005825547,0.0004909903,0.0006916245,0.00148851,0.002323114,0.003172718,0.002443366,0.006278102,0.0175942],"category_scores_gemma":[0.05952523,0.0003313491,0.0005286585,0.0006298129,0.001683754,0.003513035,0.002729909,0.006082201,0.002490876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00152102,"about_ca_system_score_gemma":0.007624474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001891979,"about_ca_topic_score_gemma":0.002961097,"domain_scores_codex":[0.9940193,0.0009837261,0.000387302,0.001106994,0.002355436,0.001147314],"domain_scores_gemma":[0.9685985,0.01589167,0.00249554,0.006886408,0.004372978,0.001754856],"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":[0.0004332465,0.0004859329,0.009678674,0.0002918107,0.0001197416,0.004536675,0.001414394,0.0174503,0.007319847,0.6341649,0.0784971,0.2456074],"study_design_scores_gemma":[0.0001847511,0.0004554004,0.002052775,0.0003706795,0.0001334658,0.003818157,0.001847771,0.0425312,0.00931388,0.7854778,0.1537309,0.0000831595],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.235464,0.003106724,0.2500827,0.09585188,0.008100088,0.0006295333,0.0004646485,0.004829709,0.4014707],"genre_scores_gemma":[0.9392784,0.0004869119,0.01877563,0.006411573,0.0006857422,0.0000818316,0.00008059612,0.0001696177,0.03402976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0175942,"threshold_uncertainty_score":0.05885839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02168682944208351,"score_gpt":0.3004193232020931,"score_spread":0.2787324937600096,"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."}}