{"id":"W2799390381","doi":"","title":"Neighbourhood Income Affects Obesity","year":2015,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada; University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Neighbourhood (mathematics); Geography; Mathematics","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":[0.0002518095,0.0001963129,0.0001545884,0.0005585904,0.0003891441,0.0008647706,0.0001922961,0.0002804884,0.01257332],"category_scores_gemma":[0.002212522,0.0001682891,0.0004025397,0.0006948009,0.0001992886,0.000370092,0.0007729896,0.0003793916,0.0009555589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003331247,"about_ca_system_score_gemma":0.0003250786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02367299,"about_ca_topic_score_gemma":0.04827677,"domain_scores_codex":[0.9998088,0.00005785632,0.00001631838,0.00003047814,0.00004180956,0.00004471608],"domain_scores_gemma":[0.9992346,0.0001207922,0.0003003631,0.00003588667,0.0001014662,0.0002068904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003252455,0.000218742,0.9719207,0.00007046107,0.0001234575,0.0002081921,0.0003243522,0.0002042114,0.0001928866,0.0004621172,0.003837319,0.02211227],"study_design_scores_gemma":[0.000007953356,0.00004364241,0.9975617,0.00004902072,0.0000468556,0.00007360386,0.000321223,0.00009857835,0.00003578309,0.0001969429,0.001560905,0.000003766409],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685326,0.002113958,0.0001288001,0.000819259,0.00007462886,0.00001337483,0.001568135,0.00002040301,0.02672888],"genre_scores_gemma":[0.991856,0.001369175,0.0001143482,0.00009960141,0.00002901457,0.0000105887,0.0007276586,0.0000116769,0.005782049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02367299,"threshold_uncertainty_score":0.04707038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009690333983322256,"score_gpt":0.179496975019823,"score_spread":0.1698066410365008,"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."}}