{"id":"W4387956057","doi":"10.46692/9781529228519.009","title":"Crime Prevention Outcomes and Implications for Future Investments","year":2022,"lang":"en","type":"other","venue":"","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"Criminology; Business; Data science; Computer science; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006491286,0.0006080197,0.0007207834,0.002629,0.002679474,0.01156552,0.002717429,0.002163951,0.03619182],"category_scores_gemma":[0.03062056,0.0003538902,0.0007685843,0.003141922,0.002488644,0.006911224,0.005380396,0.004734223,0.003013061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009580922,"about_ca_system_score_gemma":0.01156578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01911775,"about_ca_topic_score_gemma":0.02302733,"domain_scores_codex":[0.9936115,0.002418248,0.0001994807,0.00035576,0.001537214,0.001877811],"domain_scores_gemma":[0.9861924,0.004786241,0.001699156,0.0006253402,0.003686026,0.00301073],"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":[0.00009131167,0.0007161318,0.02795094,0.0006356858,0.00009499992,0.0003293601,0.004119629,0.00180514,0.00007311429,0.6637304,0.09012898,0.2103242],"study_design_scores_gemma":[0.00009590351,0.0004282557,0.1540842,0.01351612,0.0001741683,0.0006063636,0.05943152,0.004166993,0.0009455425,0.3901796,0.3761775,0.0001938714],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09603231,0.01641967,0.004069293,0.3866422,0.002926272,0.0004587231,0.003020654,0.0002312761,0.4901996],"genre_scores_gemma":[0.8583982,0.03201826,0.005174421,0.01323757,0.0008651401,0.000777397,0.002540589,0.0002168656,0.08677161],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03619182,"threshold_uncertainty_score":0.1210737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02018103291552315,"score_gpt":0.2697195486204949,"score_spread":0.2495385157049718,"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."}}