{"id":"W2107977882","doi":"10.1017/s0714980811000419","title":"La géographie du vieillissement au Canada atlantique: une analyse sous l’angle des disparités territoriales au cours de la période 1981–2006","year":2011,"lang":"en","type":"article","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Geography; Demography; Population; Period (music); Position (finance); Humanities; Sociology; Art; Economics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007347777,0.0001934626,0.0002756513,0.003885746,0.00253658,0.00201479,0.0007526618,0.00026838,0.002099543],"category_scores_gemma":[0.002816138,0.0001406015,0.0004088908,0.01219694,0.001379504,0.0006713899,0.00108719,0.0004955856,0.0001414014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01934564,"about_ca_system_score_gemma":0.02445706,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9913053,"about_ca_topic_score_gemma":0.9953412,"domain_scores_codex":[0.9992346,0.00006552463,0.00005528336,0.00007774167,0.0002912683,0.0002757157],"domain_scores_gemma":[0.9974173,0.0003273625,0.0006366589,0.00008827453,0.001218771,0.0003115088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006612232,0.00001616791,0.9451554,0.0001159969,0.0000572835,0.0002417754,0.02533303,0.0004539455,0.0005163437,0.002189881,0.002061764,0.02379229],"study_design_scores_gemma":[8.298906e-7,0.000009079442,0.9796556,0.00003084863,0.000007962806,0.00005754282,0.01360642,0.0001473731,0.00005894832,0.00003228894,0.006384441,0.000008598293],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878369,0.001412145,0.0003110461,0.0005903454,0.00001603361,0.00002297815,0.003346982,0.00001589341,0.006447676],"genre_scores_gemma":[0.9957471,0.0008492431,0.0002606394,0.00003400178,0.000009201468,0.00001492573,0.001381869,0.000006876028,0.001696014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01934564,"threshold_uncertainty_score":0.1403631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02105775610125252,"score_gpt":0.2817477194532119,"score_spread":0.2606899633519594,"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."}}