{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002528088,0.0003224144,0.0001674989,0.0009663524,0.0009688524,0.001156216,0.0006544119,0.0006050749,0.01070031],"category_scores_gemma":[0.0009461859,0.0002257925,0.0006030518,0.001687827,0.0002440969,0.001036762,0.0007023779,0.0009955671,0.001966305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004533237,"about_ca_system_score_gemma":0.009165685,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8604659,"about_ca_topic_score_gemma":0.92718,"domain_scores_codex":[0.9998034,0.0000224802,0.000008591281,0.00002977127,0.00006756218,0.00006820237],"domain_scores_gemma":[0.999491,0.00002272545,0.00004285911,0.00001474096,0.0002381542,0.0001905108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005110757,0.0004219394,0.4959976,0.0004667424,0.0001796333,0.0007979034,0.001874693,0.05242646,0.0008204379,0.0148108,0.3557523,0.0759405],"study_design_scores_gemma":[0.0001776968,0.0001747826,0.735326,0.000276366,0.0002075294,0.0003729725,0.01164022,0.04220064,0.0006492326,0.007296515,0.2015187,0.000159337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5596381,0.001254037,0.004991551,0.009424454,0.0005694839,0.0002990254,0.3424623,0.0006844698,0.08067661],"genre_scores_gemma":[0.9021261,0.001776795,0.004244046,0.0006270292,0.00009849626,0.0002403857,0.04805032,0.00006480423,0.04277204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8604659,"threshold_uncertainty_score":0.2807117,"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."}}