{"id":"W2790102522","doi":"10.3390/ijgi7030101","title":"Investigating the Influences of Tree Coverage and Road Density on Property Crime","year":2018,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Property crime; Ordinary least squares; Geography; Downtown; Regression analysis; Property (philosophy); Spatial analysis; Econometrics; Statistics; Mathematics; Violent crime; Remote sensing; Criminology; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006712721,0.0002553205,0.0002192906,0.001566003,0.0004766001,0.001124006,0.0003724541,0.000259395,0.001688731],"category_scores_gemma":[0.007341329,0.0002038926,0.0004415026,0.002101065,0.0004738625,0.0004515509,0.0006546302,0.0004522708,0.0002937543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043295,"about_ca_system_score_gemma":0.00122485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2307836,"about_ca_topic_score_gemma":0.3498031,"domain_scores_codex":[0.9992477,0.0002584973,0.00004974811,0.0001052015,0.0002093535,0.0001294011],"domain_scores_gemma":[0.9941649,0.003030314,0.001193027,0.0003005689,0.0009015913,0.0004096888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002379462,0.00002316038,0.9967044,0.000006674426,0.00006682213,0.0000499693,0.000192544,0.0003668888,0.00007617127,0.00009202978,0.00006221075,0.002335213],"study_design_scores_gemma":[6.234542e-7,0.00002033691,0.9977748,0.000008121428,0.00003815882,0.00003745782,0.0004997192,0.001300696,0.00008792718,0.00003579834,0.0001943936,0.000002080201],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979861,0.0000769023,0.000184138,0.00003067098,0.000001879936,0.000006197743,0.0002142606,0.000003198727,0.001496614],"genre_scores_gemma":[0.9988117,0.0001269708,0.0002236109,0.00000544733,0.000003002918,0.000005639489,0.0003165398,0.000003019572,0.0005039744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2307836,"threshold_uncertainty_score":0.4588805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007623762050887084,"score_gpt":0.2316273032346712,"score_spread":0.2240035411837842,"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."}}