{"id":"W3016985294","doi":"10.1016/j.envres.2020.109520","title":"Urban green space and the risks of dementia and stroke","year":2020,"lang":"en","type":"article","venue":"Environmental Research","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":119,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Wilfrid Laurier University; University of Toronto; Dalhousie University; Health Canada; Public Health Ontario","funders":"Canadian Institutes of Health Research; Health Canada; University of Toronto; Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Dementia; Stroke (engine); Urban green space; Environmental health; Space (punctuation); Medicine; Environmental science; Disease; Computer science; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007526962,0.00009676435,0.0001470494,0.00002121366,0.0002352611,0.00002014758,0.0002021056,0.00004570767,0.001262652],"category_scores_gemma":[0.00003381135,0.00006889077,0.00002830549,0.0001033314,0.00181331,0.0001042027,0.0007839355,0.0003140002,0.0001990001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004610622,"about_ca_system_score_gemma":0.000006090332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002966641,"about_ca_topic_score_gemma":0.0002477518,"domain_scores_codex":[0.9983593,0.0002205701,0.0001456564,0.0003016838,0.0006469444,0.0003258704],"domain_scores_gemma":[0.9993371,0.0001918758,0.00004377864,0.0001893411,0.000001194701,0.000236683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001363577,0.00003265957,0.9806966,0.00001385038,0.00002008257,0.000003538151,0.002217343,0.000002690487,0.006435409,0.0002507745,0.002752016,0.007438644],"study_design_scores_gemma":[0.001925582,0.0004344147,0.9697163,0.00000759285,0.00002961187,0.000004233749,0.002130386,0.001429739,0.001383549,0.0005993206,0.02218949,0.0001497666],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865825,0.001418232,0.00003253998,0.007818189,0.000008169294,0.0004006346,0.00002227521,0.000006691609,0.003710794],"genre_scores_gemma":[0.9973622,0.0009473996,0.0001571183,0.0002836958,0.00003903392,0.00001279687,0.000002089482,0.00001208265,0.001183567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01943747,"threshold_uncertainty_score":0.9996504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08382656085751218,"score_gpt":0.3367390841530905,"score_spread":0.2529125232955783,"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."}}