{"id":"W4301376654","doi":"10.51952/9781447320227.ch005","title":"The advent of neo-conservative criminology","year":2015,"lang":"en","type":"book-chapter","venue":"Policy Press eBooks","topic":"Wildlife Conservation and Criminology Analyses","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Criminology; Sociology; Political science","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":[0.0001955065,0.0002804025,0.0003490415,0.00006277729,0.0001580528,0.00001429072,0.0006233015,0.0003250467,0.0003323834],"category_scores_gemma":[0.0001424169,0.0002065873,0.0001491897,0.000007897242,0.001625384,0.00003491778,0.0004703021,0.0003298646,0.0001893277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001220425,"about_ca_system_score_gemma":0.0001313657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003537009,"about_ca_topic_score_gemma":0.0004385874,"domain_scores_codex":[0.9985573,0.00007676823,0.0004416816,0.000322075,0.0003023946,0.0002997383],"domain_scores_gemma":[0.9985471,0.000214853,0.0004305127,0.0006354861,0.00005935997,0.0001127097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006694475,0.0000125941,0.0001857107,0.00001530429,0.0001679727,0.000007906008,0.0007016318,0.0000245518,0.00005090385,0.8999251,0.08430343,0.01453801],"study_design_scores_gemma":[0.0001844315,0.00005932463,0.000611145,0.00002161223,0.000108871,0.00001072833,0.00001820303,0.00002206779,0.0003346145,0.08547577,0.9129599,0.0001933249],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006403445,0.0005560363,0.00001883654,0.001167633,0.0001117793,0.0002461527,0.00003317006,0.00003965123,0.9971864],"genre_scores_gemma":[0.008587698,0.0001295812,0.00006717143,0.001648142,0.000120596,0.00003433596,0.000009604481,0.00003395468,0.9893689],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8286565,"threshold_uncertainty_score":0.8424388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2175124050918502,"score_gpt":0.3263680267134745,"score_spread":0.1088556216216243,"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."}}