{"id":"W571332102","doi":"10.71781/751","title":"Features of neighbourhood environments associated with obesity and related health behaviours in children: using multiple statistical approaches to identify obesogenic environments","year":2014,"lang":"en","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"CHU Sainte-Justine Foundation; Agence Régionale de Santé Île-de-France; Institut pour la Recherche en Santé Publique; Conservatoire National des Arts et Métiers; Centre de recherche du CHU Sainte-Justine; Agence Nationale de la Recherche; Conseil Régional, Île-de-France; Institut National de Prévention et d'Éducation pour la Santé; Canadian Institutes of Health Research; Institut de Veille Sanitaire; Heart and Stroke Foundation of Canada","keywords":"Neighbourhood (mathematics); Obesity; Environmental health; Geography; Psychology; Data science; Computer science; Medicine; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"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":[0.00371759,0.0005851475,0.0007209119,0.002651105,0.0008472921,0.001852714,0.000694463,0.0007375916,0.001652543],"category_scores_gemma":[0.01007199,0.0003792338,0.002896339,0.002646724,0.0006527938,0.0008473949,0.00173045,0.0009782708,0.0001962646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005952113,"about_ca_system_score_gemma":0.001244672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01653177,"about_ca_topic_score_gemma":0.02905071,"domain_scores_codex":[0.9971051,0.001580088,0.0002505192,0.0004488926,0.0003623542,0.000253101],"domain_scores_gemma":[0.9941978,0.003202755,0.001392153,0.0005213606,0.0002996902,0.000386233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001347127,0.00007421432,0.9876308,0.00007235133,0.0009977227,0.00009827309,0.0005479973,0.0006419272,0.0004448561,0.0001539661,0.0001250033,0.009078051],"study_design_scores_gemma":[0.000007054431,0.0002340272,0.9935967,0.00005234687,0.0002942195,0.0001577017,0.001822131,0.00296091,0.0001687481,0.0003377785,0.0003489158,0.00001940797],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945075,0.0006162779,0.003672673,0.00019463,0.00002083893,0.00002997345,0.0004074949,0.00002181208,0.0005287803],"genre_scores_gemma":[0.9950187,0.0002272604,0.004102638,0.0000286064,0.00001489844,0.00006951677,0.0002880791,0.00001006859,0.0002402306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01653177,"threshold_uncertainty_score":0.03287107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218112401899839,"score_gpt":0.2079039802673641,"score_spread":0.1957228562483657,"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."}}