{"id":"W6892952988","doi":"10.5281/zenodo.12309553","title":"criminal justice in canada goff pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Wireless Sensor Networks for Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Criminal justice; Theory of criminal justice; Criminal justice ethics; Economic Justice; Context (archaeology); Supreme court; Criminal 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003354163,0.0002580556,0.0002865959,0.0006425479,0.0003546858,0.001047721,0.003194035,0.0001104776,0.03368382],"category_scores_gemma":[0.0001621655,0.0002822815,0.00006171142,0.001345757,0.00006820911,0.0001774781,0.002381634,0.00055951,0.05167909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007235937,"about_ca_system_score_gemma":0.00004463488,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1472247,"about_ca_topic_score_gemma":0.03524204,"domain_scores_codex":[0.9974446,0.0002619549,0.0003078754,0.0008264197,0.0006343098,0.0005248802],"domain_scores_gemma":[0.9984078,0.00002155998,0.0001413535,0.001085297,0.0001430979,0.0002008298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003403785,0.00002284698,2.654441e-7,0.0002532844,0.00005438335,0.0002299871,0.0001617381,0.0001115643,0.0000117324,0.003498542,0.9683741,0.02727818],"study_design_scores_gemma":[0.0001321491,0.00002783995,0.00001356617,0.000165285,0.00008940582,0.00007703481,0.0001613233,0.008493171,0.000006691874,0.0000626703,0.9904848,0.0002860993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002996959,0.0005629126,0.01486873,0.0004530758,0.0005940036,0.0002646359,0.0003188891,0.0008691868,0.9820386],"genre_scores_gemma":[0.01408223,0.0009062121,0.003788683,0.0007513858,0.001394831,1.3926e-7,0.004794192,0.01809368,0.9561887],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1119827,"threshold_uncertainty_score":0.9999893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02275011806934606,"score_gpt":0.2271160512605661,"score_spread":0.20436593319122,"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."}}