{"id":"W4393220821","doi":"10.1155/2024/9503785","title":"Exploring the Landscape of Eco‐Mapping in Health Services Research: A Comprehensive Review","year":2024,"lang":"en","type":"review","venue":"Health & Social Care in the Community","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Trillium Health Centre; Toronto Rehabilitation Institute; University of Toronto; Lunenfeld-Tanenbaum Research Institute","funders":"Canadian Institutes of Health Research","keywords":"Geography; Environmental planning; Environmental resource management; Data science; Computer science; Environmental science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0390971,0.001782239,0.005637695,0.02731494,0.001854945,0.009181913,0.002873811,0.005452558,0.004095772],"category_scores_gemma":[0.114004,0.001825416,0.005330405,0.03437914,0.003791998,0.01073353,0.005195807,0.004237028,0.0006682465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01026324,"about_ca_system_score_gemma":0.03425919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01633031,"about_ca_topic_score_gemma":0.02982582,"domain_scores_codex":[0.9693003,0.01619699,0.006947001,0.001660459,0.005191748,0.0007034737],"domain_scores_gemma":[0.7695294,0.2050531,0.009017324,0.002781305,0.01253439,0.001084506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007483918,0.00005387287,0.0006856684,0.5680135,0.001560913,0.000144768,0.001688166,0.0005996005,0.0002200292,0.01464469,0.01152141,0.4007926],"study_design_scores_gemma":[0.00001819318,0.00005619854,0.001104433,0.8382669,0.00216394,0.0002210871,0.0009132517,0.0002191828,0.00009210274,0.004710084,0.1521932,0.00004148993],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006967392,0.9979882,0.0002458601,0.001197314,0.000182341,0.00003719512,0.00002304659,0.000004641312,0.0002516483],"genre_scores_gemma":[0.001742542,0.9965395,0.0007781745,0.0006196605,0.0001275719,0.0001173413,0.00002799931,0.000004403051,0.00004286863],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0390971,"threshold_uncertainty_score":0.2067677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6389498474752646,"score_gpt":0.5603346142169989,"score_spread":0.0786152332582657,"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."}}