{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001906872,0.000117132,0.0001691378,0.00008330352,0.0001754814,0.0001288761,0.0002103214,0.0001153433,0.1545612],"category_scores_gemma":[0.0003173294,0.0001444741,0.00008000949,0.0003423788,0.0000138342,0.0003235703,0.00007956102,0.0002286967,0.001171385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002532186,"about_ca_system_score_gemma":0.0001558639,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06641679,"about_ca_topic_score_gemma":0.5322937,"domain_scores_codex":[0.998489,0.0001878641,0.0002346777,0.0003111955,0.0004249913,0.0003523382],"domain_scores_gemma":[0.99946,0.0000435921,0.0001067076,0.0002181051,0.00008690198,0.00008470187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001176235,0.0001666503,0.1589688,0.00004636913,0.00002978875,0.0002818862,0.009746283,0.00002132094,0.00002004987,0.0001405202,0.8256732,0.004893467],"study_design_scores_gemma":[0.0001369599,0.000005081665,0.6484649,0.0001276753,0.000002870788,2.514441e-7,0.0002219387,0.000003713164,0.000005304415,0.00004930578,0.3508606,0.0001214261],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8136344,0.0004424668,0.000003380439,0.0003858041,0.0008259722,0.0009642914,0.1299601,0.0002294853,0.05355415],"genre_scores_gemma":[0.9421018,0.00001612077,0.00003548399,0.0003581061,0.0001335375,0.00007483178,0.04583347,0.00001596358,0.01143072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4894961,"threshold_uncertainty_score":0.9996063,"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."}}