{"id":"W3156676049","doi":"10.18192/jpp.v28i2.4793","title":"Expand Opportunities, Make Communities Safer","year":2020,"lang":"en","type":"article","venue":"Journal of Prisoners on Prisons","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"SAFER; Public relations; Political science; Computer security; Business; Internet privacy; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007966228,0.000135333,0.000327093,0.00008440982,0.0005443743,0.0001118994,0.0004957212,0.0001184862,0.0004344216],"category_scores_gemma":[0.0001896785,0.0001201608,0.0002049901,0.0002229364,0.0003410988,0.0002221432,0.00005959715,0.0006145564,0.00002618631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001000144,"about_ca_system_score_gemma":0.0003790036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002491754,"about_ca_topic_score_gemma":0.0003092803,"domain_scores_codex":[0.9981055,0.0004232919,0.0004234168,0.00007942727,0.0006512531,0.0003171001],"domain_scores_gemma":[0.9985209,0.0003385397,0.0003961087,0.0001117017,0.0001986194,0.0004341938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006950232,0.000404867,0.005280591,0.00002894451,0.0003069047,0.0002288807,0.505825,0.0001715856,0.0001235073,0.08382796,0.2863773,0.1167293],"study_design_scores_gemma":[0.0009544101,0.0005914108,0.0007902337,0.00007024096,0.00006239691,0.000006555776,0.3217918,0.0000440957,0.00005839209,0.001578369,0.6737961,0.0002559322],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7541291,0.002261905,0.0009638635,0.10388,0.001504104,0.000295303,0.00001944514,0.0001087453,0.1368375],"genre_scores_gemma":[0.990842,0.001620691,0.0004198902,0.004554104,0.00136405,0.000002461973,0.000002127264,0.00001892895,0.001175725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3874188,"threshold_uncertainty_score":0.4900017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1358113024219865,"score_gpt":0.3258877003236788,"score_spread":0.1900763979016923,"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."}}