{"id":"W6931913177","doi":"10.5683/sp3/1jf2kt","title":"Aboriginal Peoples Survey, 2006 [Canada]: Adults","year":2009,"lang":"en","type":"dataset","venue":"Borealis","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General partnership; Product (mathematics); Population; Indigenous; Ethnic group","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002683755,0.0005090269,0.0005052114,0.0002073985,0.0001735811,0.0001909668,0.002156521,0.0002385098,0.00003481401],"category_scores_gemma":[0.0002525341,0.000510607,0.00008128125,0.0006413401,0.00005535773,0.0003855088,0.0001259104,0.0004066184,0.00001837033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003863734,"about_ca_system_score_gemma":0.00231889,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9437959,"about_ca_topic_score_gemma":0.9923682,"domain_scores_codex":[0.9969674,0.0002188046,0.0004555565,0.0009492522,0.0008443387,0.0005645839],"domain_scores_gemma":[0.996827,0.0003113823,0.00040458,0.001657371,0.0005412516,0.000258431],"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":[0.00001262382,0.00006180264,0.00001266191,0.0000211912,0.00001863608,0.0001020843,0.00002181327,0.0006594502,4.130619e-8,0.00005521264,0.9952096,0.003824821],"study_design_scores_gemma":[0.0004071936,0.00005562642,0.00860841,0.00006556448,0.00001216695,0.00002510716,0.000005171435,0.002320827,0.000006245349,0.00003603288,0.9878715,0.0005861472],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[4.401851e-7,0.0001730919,0.1097713,0.0001713628,0.0004529041,0.000269428,0.8888149,0.0001105849,0.0002360649],"genre_scores_gemma":[0.000001552641,0.0008700792,0.03368744,0.0007292618,0.0002365688,0.00002700627,0.964258,0.00002164391,0.0001684457],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07608384,"threshold_uncertainty_score":0.9997346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007760170416241743,"score_gpt":0.2614338810864885,"score_spread":0.2536737106702468,"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."}}