{"id":"W2104621984","doi":"10.1093/ije/dyu137","title":"Cohort Profile: The Montreal Neighbourhood Networks and Healthy Aging (MoNNET-HA) study","year":2014,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Neighbourhood (mathematics); Psychosocial; Gerontology; Cohort; Social capital; Cohort study; Socioeconomic status; Metropolitan area; Psychology; Geography; Demography; Medicine; Environmental health; Sociology; Population; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001672644,0.0007866916,0.0004403547,0.001134116,0.002189945,0.001162836,0.001263862,0.0005735551,0.004282316],"category_scores_gemma":[0.002142771,0.0003832934,0.000606102,0.002317105,0.0002720991,0.0005652547,0.001375878,0.0006294631,0.0007721478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009936512,"about_ca_system_score_gemma":0.006958877,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8855561,"about_ca_topic_score_gemma":0.9265521,"domain_scores_codex":[0.9992524,0.0001786356,0.00003681088,0.00016516,0.0001596887,0.0002072686],"domain_scores_gemma":[0.9989237,0.00003164849,0.000188981,0.0001096141,0.00041939,0.0003266014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001242925,0.0002143351,0.9190621,0.0002040024,0.0004925644,0.0002612358,0.001075624,0.0004035524,0.0006321106,0.001150233,0.06083986,0.0144214],"study_design_scores_gemma":[0.0001895281,0.00009460192,0.9844657,0.00008478241,0.00009892266,0.00007654839,0.0003687005,0.0003791064,0.00009419509,0.0001201462,0.01399756,0.00003012624],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.750986,0.002777689,0.002301262,0.001370296,0.0001995489,0.003654255,0.2228393,0.0001443959,0.01572718],"genre_scores_gemma":[0.9030096,0.001202407,0.003681516,0.001013207,0.0001531856,0.004980974,0.06993408,0.00007940808,0.01594564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1144439,"threshold_uncertainty_score":0.2302357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03911793011247514,"score_gpt":0.4020788554054838,"score_spread":0.3629609252930087,"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."}}