{"id":"W7024113471","doi":"","title":"Profile & projections of the 60+ population : Ottawa County, Ohio","year":2008,"lang":"en","type":"article","venue":"Scholarly Commons - MU (Miami University)","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Population; Population projection; Census; Projections of population growth","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":[0.0002406273,0.0001423337,0.0001926364,0.0002862237,0.0008122348,0.00004043373,0.0003279861,0.0001367325,0.0001304276],"category_scores_gemma":[0.000291767,0.0001287408,0.0001391475,0.0009899482,0.0001032652,0.0009936395,0.0001179286,0.0003464212,0.00003071738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000220535,"about_ca_system_score_gemma":0.0001191672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008029952,"about_ca_topic_score_gemma":0.002103179,"domain_scores_codex":[0.9987877,0.0002112534,0.0002781081,0.0001906869,0.0003564039,0.0001758175],"domain_scores_gemma":[0.9986137,0.0001426483,0.0003042072,0.0005626951,0.0003178922,0.00005886424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004471862,0.0004057326,0.7863668,0.00009425826,0.00007445757,0.000009721457,0.001272415,0.0003371792,0.0007053749,0.1990746,0.01094004,0.0006746495],"study_design_scores_gemma":[0.0009011399,0.00004261536,0.9098449,0.0000917796,0.0001398524,0.00003766914,0.0001371821,0.001004801,0.0002499342,0.006278367,0.08095954,0.0003122298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9663925,0.00001193969,0.002484351,0.0003907666,0.0002364567,0.0005240372,0.0000811717,0.0001249152,0.02975389],"genre_scores_gemma":[0.9841636,0.000005577119,0.004631511,0.00001902125,0.00003805284,0.000001599774,0.00006913218,0.00001755953,0.01105399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1927963,"threshold_uncertainty_score":0.6247135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06550165116542847,"score_gpt":0.2733576372930702,"score_spread":0.2078559861276418,"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."}}