{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002109526,0.0002119991,0.0002151479,0.00150162,0.002710947,0.001994795,0.0005155283,0.0004163407,0.004606768],"category_scores_gemma":[0.0009071213,0.0001959318,0.0003721201,0.001502755,0.001225231,0.0009792182,0.00230755,0.001154365,0.000313025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005322881,"about_ca_system_score_gemma":0.002898259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4796548,"about_ca_topic_score_gemma":0.7567166,"domain_scores_codex":[0.9996339,0.00008727179,0.00001521943,0.00003104101,0.00009048067,0.0001420873],"domain_scores_gemma":[0.9988179,0.0001041796,0.0003284765,0.00002867151,0.0002507036,0.0004700123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002249632,0.0009175314,0.9450547,0.0001602828,0.0001786451,0.0008446519,0.01364965,0.0008367774,0.0005696561,0.002677363,0.01417745,0.02070826],"study_design_scores_gemma":[0.000006104992,0.00005485321,0.978147,0.00005310722,0.00001586114,0.00003778349,0.01651987,0.0002412938,0.00005677559,0.0001292292,0.004722108,0.00001604447],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99186,0.0004150036,0.00002416009,0.0009442664,0.00004031387,0.00002102788,0.0005166939,0.000004250842,0.006174261],"genre_scores_gemma":[0.996062,0.000882153,0.00005612142,0.0001254205,0.00003309358,0.00003515584,0.0004258361,0.000004668819,0.002375508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4796548,"threshold_uncertainty_score":0.9537258,"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."}}