{"id":"W6991607906","doi":"","title":"The Impacts of Green Spaces on Crime in New York City","year":2018,"lang":"en","type":"article","venue":"Fordham Research Commons (Fordham University)","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Unemployment; Violent crime; Boom; Virtuous circle and vicious circle; Quarter (Canadian coin); Unemployment rate","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":[0.001407337,0.0001676443,0.0002269833,0.0004322123,0.0008448177,0.00004916057,0.001177589,0.0001225978,0.000858956],"category_scores_gemma":[0.0001445523,0.0001355476,0.00008887127,0.002258191,0.001145133,0.0002713875,0.000759845,0.0006340847,0.0004672866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006204758,"about_ca_system_score_gemma":0.0002897581,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1011159,"about_ca_topic_score_gemma":0.4064273,"domain_scores_codex":[0.9972177,0.0003606299,0.0001999323,0.0003689929,0.0008893678,0.0009633376],"domain_scores_gemma":[0.9981068,0.0005541198,0.00009737027,0.0007621171,0.0000573401,0.0004222685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008946388,0.0002707008,0.8799307,0.00001788796,0.00002890808,0.00006978857,0.001715823,0.00001528353,0.0004831359,0.01267872,0.09546401,0.008430417],"study_design_scores_gemma":[0.001207792,0.002200467,0.4668231,0.00009456697,0.000009854073,0.000004456754,0.002797374,0.0002172933,0.0008749815,0.003059804,0.522438,0.0002723205],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8597813,0.00004964577,0.00003262353,0.003474653,0.00006518827,0.0004661828,0.00001316163,0.00003258555,0.1360846],"genre_scores_gemma":[0.9707373,0.00008588306,0.0001457996,0.00006041478,0.00008474498,8.447176e-7,0.000002537095,0.00001628083,0.02886624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.426974,"threshold_uncertainty_score":0.9404965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0964150947442108,"score_gpt":0.3254629327041376,"score_spread":0.2290478379599268,"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."}}