{"id":"W7098482110","doi":"","title":"in Canadian Metropolitan Areas: Focus on Elderly and Role of Health and Social Network Factors 1","year":2009,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Focus (optics); Social network (sociolinguistics); Focus group; Social network analysis","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0007735987,0.0006331339,0.0006133973,0.003851834,0.004898862,0.002606692,0.002108301,0.0008623008,0.00955939],"category_scores_gemma":[0.003004371,0.0002992809,0.001068332,0.01118167,0.001022456,0.001150443,0.001928335,0.0009786745,0.0004504295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04524119,"about_ca_system_score_gemma":0.0610173,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970798,"about_ca_topic_score_gemma":0.9989674,"domain_scores_codex":[0.9986417,0.0001054089,0.00005149623,0.000136255,0.000210851,0.000854301],"domain_scores_gemma":[0.996825,0.0001996365,0.0004648706,0.00006914319,0.001156863,0.001284521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001712174,0.0001174506,0.9408313,0.0003872981,0.0002131663,0.0006359262,0.006838142,0.0005554357,0.0002398259,0.003710218,0.0177332,0.02856685],"study_design_scores_gemma":[0.000008786424,0.00002499446,0.9700181,0.0002039126,0.0001154869,0.0001294897,0.0121142,0.000339213,0.0001005942,0.000344384,0.01656589,0.0000349504],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9288465,0.01997294,0.0005619526,0.01061803,0.000239683,0.0001104713,0.01452948,0.00005497913,0.02506589],"genre_scores_gemma":[0.9806908,0.006932902,0.0003818274,0.001062016,0.0001060887,0.0000275681,0.002048918,0.00002222979,0.008727723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04524119,"threshold_uncertainty_score":0.3282493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02489560430140156,"score_gpt":0.2151427402437179,"score_spread":0.1902471359423163,"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."}}