{"id":"W4246838319","doi":"10.4095/301291","title":"Age, 1996 - Youth (under 15 years) by Census Subdivision","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; Subdivision; Geography; Demography; Sociology; Archaeology; Population","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":[0.0003794605,0.0009236461,0.0003393877,0.002290451,0.0004730643,0.0007822937,0.001099646,0.0002955823,0.01906847],"category_scores_gemma":[0.001951531,0.0003297108,0.0004083908,0.004187124,0.0001142977,0.0008832689,0.0007998938,0.0007322284,0.01472685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00135623,"about_ca_system_score_gemma":0.002207152,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2218725,"about_ca_topic_score_gemma":0.2252736,"domain_scores_codex":[0.9995914,0.00003376306,0.0000555472,0.00004447367,0.0001606288,0.0001141704],"domain_scores_gemma":[0.9988691,0.00006154804,0.0001921603,0.00003648507,0.0006914962,0.0001491667],"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":[0.0002356393,0.000137677,0.11731,0.0009885709,0.00008110103,0.000192781,0.000855733,0.0008003241,0.0003722774,0.0011748,0.846355,0.03149613],"study_design_scores_gemma":[0.00007134541,0.00009435198,0.7203081,0.0003314331,0.00003040525,0.0002054864,0.001595455,0.0004727056,0.0002657836,0.0001747055,0.2764302,0.00002024909],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03578487,0.0006267146,0.0002075926,0.0003733748,0.0002790035,0.0002883867,0.9221027,0.000202246,0.0401351],"genre_scores_gemma":[0.08065838,0.002676426,0.0008797369,0.0002182098,0.00009516402,0.0009961573,0.8435827,0.00008579824,0.0708074],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7781276,"threshold_uncertainty_score":0.441162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1198752266345866,"score_gpt":0.4247240328221865,"score_spread":0.3048488061876,"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."}}