{"id":"W6885790614","doi":"10.1371/journal.pone.0246086.s002","title":"Average annual population in Ontario aged ≥65 years by characteristic, 2002–2016.","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Population; Life expectancy; Census; Population ageing; Duration (music)","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":[0.0002561324,0.000302164,0.0003646277,0.001279875,0.00106937,0.0006928464,0.0009213291,0.0003016525,0.008032728],"category_scores_gemma":[0.002371946,0.0002707534,0.0006011787,0.003702977,0.0002994025,0.0004407136,0.0006700905,0.0004517779,0.001006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01171673,"about_ca_system_score_gemma":0.01956374,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9869052,"about_ca_topic_score_gemma":0.9941573,"domain_scores_codex":[0.9995809,0.00002316393,0.00004741946,0.00006827804,0.0001522383,0.0001279331],"domain_scores_gemma":[0.9983861,0.00006768069,0.0003661136,0.00004527671,0.0007996862,0.0003351347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000320431,0.00005174839,0.703332,0.001052333,0.0002706552,0.000253856,0.001258597,0.001061361,0.000373378,0.0009256892,0.2708021,0.02029788],"study_design_scores_gemma":[0.0000378759,0.00001601598,0.9691461,0.0001728756,0.0000629475,0.0001148219,0.0007781342,0.0003483418,0.00004746088,0.00007564925,0.02918397,0.00001585886],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2727824,0.003832045,0.0004037929,0.002052939,0.0001694143,0.0001367508,0.6943089,0.0002726603,0.026041],"genre_scores_gemma":[0.797894,0.004195393,0.0006952952,0.0006151817,0.00009287686,0.0002480115,0.169772,0.0000720848,0.02641524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01309484,"threshold_uncertainty_score":0.0850113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02100528383366637,"score_gpt":0.2661880303571505,"score_spread":0.2451827465234841,"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."}}