{"id":"W6923586032","doi":"10.1371/journal.pone.0265509.s004","title":"Ontario population estimates by age group for males and females in 2003 and 2020.","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Population; Group (periodic table); Age groups; Incidence (geometry); Sample (material)","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":[0.0005108271,0.0004288819,0.0002943618,0.002039695,0.0007513984,0.0005512134,0.0007114899,0.0002126699,0.00912923],"category_scores_gemma":[0.002440253,0.0002852445,0.0007428391,0.005372767,0.0001483341,0.000418348,0.0003919075,0.0004217892,0.002329354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01643426,"about_ca_system_score_gemma":0.01840671,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9913558,"about_ca_topic_score_gemma":0.996181,"domain_scores_codex":[0.9995655,0.00002477103,0.0000373328,0.00005474853,0.0002488085,0.00006882129],"domain_scores_gemma":[0.9985765,0.00005998613,0.0001574572,0.00003661106,0.001046714,0.0001226749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001663963,0.00002649453,0.1451757,0.000673863,0.0001815114,0.0001070285,0.0009681,0.001715842,0.000373317,0.002340263,0.8035877,0.04468375],"study_design_scores_gemma":[0.00006614148,0.00001844988,0.7335321,0.0003470583,0.0001296167,0.0001181046,0.001078594,0.002721381,0.0003421975,0.000555022,0.2610509,0.00004040006],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05069171,0.003157777,0.002078911,0.00154155,0.000202281,0.0001896329,0.9118547,0.0003456702,0.02993784],"genre_scores_gemma":[0.3322715,0.008441185,0.01071589,0.0007268294,0.0000917446,0.0007210026,0.5659542,0.0002218341,0.08085584],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01643426,"threshold_uncertainty_score":0.1192394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09013508039003267,"score_gpt":0.3185965432882855,"score_spread":0.2284614628982528,"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."}}