{"id":"W4254678619","doi":"10.4095/301282","title":"Age, 1996 - Early Working Years (15 to 34 years) by Census Division","year":2010,"lang":"en","type":"report","venue":"","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Division (mathematics); Geography; Demography; Sociology; Population; Mathematics; Arithmetic","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":[0.0003943054,0.0008454613,0.000312676,0.002627408,0.0004958258,0.0006967265,0.0009374347,0.0003643166,0.0118512],"category_scores_gemma":[0.001574005,0.0003329894,0.0003653172,0.00426539,0.00009982022,0.0008263903,0.0006876477,0.0005463957,0.007499503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001319747,"about_ca_system_score_gemma":0.002235826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2793563,"about_ca_topic_score_gemma":0.3401477,"domain_scores_codex":[0.9996567,0.00002284838,0.00004790041,0.00004160747,0.0001287891,0.0001021702],"domain_scores_gemma":[0.9990151,0.00005884539,0.0002115532,0.00002868423,0.0005353967,0.0001503867],"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":[0.0002864355,0.000194495,0.3209707,0.001094873,0.0001069075,0.0003138734,0.0008747894,0.001165294,0.0004904455,0.0009290579,0.6417627,0.03181037],"study_design_scores_gemma":[0.0000502892,0.00005919653,0.8643278,0.0002668824,0.00002850587,0.0001553763,0.001066504,0.0002455805,0.0002602135,0.00009500543,0.1334321,0.00001256213],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.05534524,0.0008567614,0.000181689,0.0003503972,0.0002301184,0.0002980615,0.9192819,0.0000922841,0.02336352],"genre_scores_gemma":[0.1360246,0.005213887,0.0007317123,0.0003774857,0.0001307247,0.0013579,0.7805431,0.0000495307,0.07557106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2793563,"threshold_uncertainty_score":0.5554606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09254850980267208,"score_gpt":0.4170709303133242,"score_spread":0.3245224205106521,"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."}}