{"id":"W6995871838","doi":"","title":"Profile of census tracts in Edmonton, 2006 Census : map volume","year":2009,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Volume (thermodynamics); Field (mathematics); Population; Data collection","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":[0.000277235,0.0007793159,0.0004057793,0.004444587,0.0006038579,0.0009831393,0.0009851317,0.0003796706,0.106592],"category_scores_gemma":[0.001701947,0.0005986862,0.0003196909,0.007895644,0.0001358471,0.0006533247,0.0006615533,0.000762077,0.06357699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001975361,"about_ca_system_score_gemma":0.006899387,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4645442,"about_ca_topic_score_gemma":0.6470504,"domain_scores_codex":[0.9997115,0.00002118185,0.00002314536,0.00005520772,0.000125044,0.00006400996],"domain_scores_gemma":[0.9991995,0.00004391953,0.00007918093,0.00004289964,0.0005196372,0.0001148804],"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":[0.00003347943,0.00002388146,0.004492044,0.0001899711,0.000006139218,0.00002796063,0.0001190864,0.0002164203,0.0001509914,0.0005439264,0.9792522,0.01494396],"study_design_scores_gemma":[0.00002609504,0.00001721042,0.1528353,0.0002220155,0.00001026795,0.00008918323,0.0003387901,0.0003987515,0.0001982863,0.0002001354,0.8456473,0.00001662358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00643789,0.0006269202,0.0004786837,0.0003017797,0.0001590496,0.0002010917,0.9141139,0.0005916843,0.07708896],"genre_scores_gemma":[0.01071692,0.001565946,0.002362361,0.0001840991,0.0000561326,0.0003083637,0.6827401,0.0003196322,0.3017464],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5354558,"threshold_uncertainty_score":0.9236805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006354003410628191,"score_gpt":0.1933028299251529,"score_spread":0.1869488265145247,"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."}}