{"id":"W7005539313","doi":"","title":"Release: Canada's Law and Order Agenda: Tough on Crime?","year":2009,"lang":"en","type":"other","venue":"oURspace (University of Regina)","topic":"Amazonian Archaeology and Ethnohistory","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); Criminal justice; Public order; Criminal law; Economic Justice; Criminal code; Code (set theory)","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":[],"consensus_categories":[],"category_scores_codex":[0.00003921368,0.0001779158,0.0002813154,0.0001234341,0.0002714442,0.000005283853,0.0001812476,0.0001542859,0.0008278441],"category_scores_gemma":[0.000005423631,0.000212047,0.00004599409,0.00002356443,0.001136311,0.00004053686,0.00004903143,0.0002458002,0.00004401268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008668334,"about_ca_system_score_gemma":0.0002149543,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1297259,"about_ca_topic_score_gemma":0.9452932,"domain_scores_codex":[0.9993582,0.00004279454,0.000008783925,0.0002478068,0.000147047,0.000195407],"domain_scores_gemma":[0.9994717,0.00002409828,0.0001388506,0.0002498332,0.00004183804,0.00007367674],"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":[0.00002021127,0.000007382857,0.000002262148,0.00003305897,0.00004572344,0.0001270863,0.001697814,4.104475e-7,2.661963e-7,0.1911053,0.8064028,0.0005576985],"study_design_scores_gemma":[0.0002560102,0.00008752151,0.00002378345,0.0001064472,0.00006319691,0.000003146485,0.003354996,0.000001473807,4.599277e-7,0.00002735963,0.9958626,0.0002130234],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000649647,0.001328292,0.000009012906,0.2720965,0.0002092682,0.00007504168,0.00005735359,0.00005301516,0.7261066],"genre_scores_gemma":[0.0002734173,0.0003238983,0.0001851213,0.0008703264,0.0001634865,7.570522e-8,0.00001657164,0.00005747412,0.9981096],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8155674,"threshold_uncertainty_score":0.9064313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01294287136366876,"score_gpt":0.1844551535964568,"score_spread":0.1715122822327881,"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."}}