{"id":"W2078527934","doi":"10.3138/cjccj.53.4.404","title":"Set Up to Fail: The Unintended Consequences of Multiple Bail Conditions","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"","keywords":"Unintended consequences; Sample (material); Order (exchange); Federal court; Law; Set (abstract data type); Political science; Business; Supreme court; Computer science; Finance; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002297441,0.0003423116,0.000641615,0.0009498801,0.001246878,0.0001099829,0.001123838,0.0004287565,0.0004604149],"category_scores_gemma":[0.009163257,0.0003137695,0.0002562595,0.0003827491,0.004434714,0.0003292242,0.00006624653,0.0009554872,0.00001490895],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006192933,"about_ca_system_score_gemma":0.005792446,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2175398,"about_ca_topic_score_gemma":0.6271046,"domain_scores_codex":[0.9961121,0.001016209,0.0008376961,0.0003968348,0.0001742027,0.001462959],"domain_scores_gemma":[0.994256,0.001812963,0.0005809324,0.0004234908,0.001211076,0.001715599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002993302,0.00003750338,0.001870517,0.0006471957,0.0002958926,0.001607002,0.6993695,0.0003028159,0.0009350261,0.2863794,0.002017213,0.006238533],"study_design_scores_gemma":[0.0003562177,0.000533612,0.006569662,0.0001869483,0.01167791,0.002191441,0.966869,0.00006406547,0.0006223546,0.005127317,0.005447813,0.0003536891],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867604,0.000741554,0.0023961,0.004197619,0.001019223,0.0002278856,0.00008485536,0.00002572822,0.004546679],"genre_scores_gemma":[0.9956096,0.0007528761,0.001061902,0.001848987,0.0002732634,0.00002702333,0.000007210573,0.00002781642,0.0003912773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4095649,"threshold_uncertainty_score":0.9999315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1681705585626093,"score_gpt":0.3400742938478297,"score_spread":0.1719037352852204,"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."}}