{"id":"W6961069858","doi":"10.1371/journal.pone.0090708.t002","title":"Comparison of Corrections related characteristics between Case Management Team and Vancouver Provincial Court offenders.","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Case management; Case analysis; High Court","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":[0.0009968485,0.0008862021,0.001199554,0.004146474,0.001239198,0.001413467,0.002124474,0.0009949337,0.03952035],"category_scores_gemma":[0.009160871,0.0005178064,0.0007762189,0.006857579,0.0002586692,0.0005443481,0.001466435,0.001290245,0.01035404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004960294,"about_ca_system_score_gemma":0.007982174,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.679554,"about_ca_topic_score_gemma":0.8565031,"domain_scores_codex":[0.9990819,0.00008324918,0.0001224662,0.0002225577,0.0003113402,0.0001785152],"domain_scores_gemma":[0.9928099,0.00117777,0.0007249333,0.0006133232,0.003952153,0.0007220155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001202047,0.00002053082,0.01795677,0.0007503218,0.000123578,0.00002897895,0.00009716999,0.000201396,0.00006534444,0.0003278746,0.9767488,0.003558915],"study_design_scores_gemma":[0.0004467479,0.00002660566,0.3147967,0.002635404,0.0002739452,0.0001259297,0.0009397625,0.0007593961,0.0004081516,0.0008112486,0.6786917,0.00008443747],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008885713,0.00006017399,0.00002437559,0.00004421074,0.00001068043,0.00001337956,0.9981478,0.00003192493,0.0007788144],"genre_scores_gemma":[0.004212434,0.00008595028,0.0001961112,0.00003969837,0.000005058453,0.0001144486,0.9934068,0.0000301124,0.001909368],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.320446,"threshold_uncertainty_score":0.6446662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04321327632449261,"score_gpt":0.2893308685914935,"score_spread":0.2461175922670009,"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."}}