{"id":"W3026096797","doi":"10.1186/s12889-020-08853-9","title":"Characterising urban green space density and footpath-accessibility in models of BMI","year":2020,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Biostatistics; Level design; Medicine; Environmental health; Poison control; Public health","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":[0.01078793,0.001656737,0.001670507,0.002442334,0.0009175989,0.003556502,0.003882258,0.002801474,0.009926033],"category_scores_gemma":[0.02901705,0.001477616,0.006220131,0.002665207,0.002415827,0.002378443,0.004718591,0.003099392,0.001427501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493392,"about_ca_system_score_gemma":0.001927227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05495248,"about_ca_topic_score_gemma":0.03144873,"domain_scores_codex":[0.9929544,0.005254712,0.0001666693,0.000830613,0.0002042863,0.0005893111],"domain_scores_gemma":[0.9692612,0.02542845,0.002220304,0.001431894,0.0006499679,0.001008156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009705545,0.0004510062,0.5732152,0.0004448937,0.004263929,0.000928743,0.001919234,0.3796032,0.0005117983,0.01975456,0.002208395,0.01572853],"study_design_scores_gemma":[0.0001735577,0.0005052663,0.08699794,0.0003238182,0.001122779,0.0003413458,0.0009437278,0.8762957,0.0001729935,0.02971145,0.003284085,0.0001273126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8722062,0.002869915,0.1140054,0.003357444,0.0002413802,0.0003021054,0.002285651,0.0005887113,0.004143186],"genre_scores_gemma":[0.9870636,0.0004818408,0.0078516,0.0001614925,0.00008718866,0.0002501138,0.0007474321,0.00006735574,0.003289375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05495248,"threshold_uncertainty_score":0.1092652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07859655094868243,"score_gpt":0.2899858371150446,"score_spread":0.2113892861663621,"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."}}