{"id":"W2187377355","doi":"","title":"Labour Force Ageing and Skill Shortages in Canada and Ontario","year":2004,"lang":"en","type":"article","venue":"","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Economic shortage; Ageing; Labour economics; Economics; Medicine; Government (linguistics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002104365,0.00005143432,0.00007595427,0.00001279983,0.0001368207,0.00004086264,0.00004899796,0.00002130797,0.0001495661],"category_scores_gemma":[0.00002702512,0.00004585093,0.000007231332,0.00005249992,0.00007350069,0.00009268505,0.0000254663,0.0000469082,5.421118e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008409523,"about_ca_system_score_gemma":0.0007418681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999198,"about_ca_topic_score_gemma":0.999999,"domain_scores_codex":[0.9993876,0.000022361,0.0000952613,0.0001375409,0.0001640554,0.0001931916],"domain_scores_gemma":[0.9998053,0.00002653848,0.00001314554,0.000054885,0.00001098259,0.00008913806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000135139,0.0000105222,0.9751062,0.000006316452,0.000002624332,0.000006803699,0.01328401,0.00001018565,0.000006056136,0.01064508,0.00003449266,0.0008864076],"study_design_scores_gemma":[0.0001868993,0.00001257484,0.9785661,0.000011976,0.000002444077,2.007063e-7,0.01182586,9.515132e-7,0.00003241407,0.006204131,0.003075024,0.00008140286],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755355,0.00004778898,0.00000401127,0.0008959513,0.00006435373,0.0001236992,8.00811e-7,0.000008013851,0.02331994],"genre_scores_gemma":[0.995425,0.00007243676,0.00006844881,0.0002871773,0.00001764811,0.000004042461,4.461818e-7,0.000002273667,0.004122454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01988963,"threshold_uncertainty_score":0.2199061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07048215936555041,"score_gpt":0.3415100663654569,"score_spread":0.2710279069999065,"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."}}