{"id":"W7005386248","doi":"","title":"Profile of census tracts in Regina and Saskatoon, 2006 Census","year":2009,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Population; Data collection; Demographic analysis; Statistical analysis","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":[0.0002874621,0.0006652124,0.0004263639,0.004288448,0.0006911999,0.0007600902,0.001134676,0.0002953528,0.03488368],"category_scores_gemma":[0.00192802,0.0005367438,0.0004212156,0.01089956,0.000168812,0.0005969634,0.0008040411,0.0005698574,0.01591055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002850971,"about_ca_system_score_gemma":0.008664117,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7612447,"about_ca_topic_score_gemma":0.8578445,"domain_scores_codex":[0.9997221,0.00002817652,0.00004204788,0.00006108287,0.00006447049,0.00008208678],"domain_scores_gemma":[0.9989161,0.00007968337,0.0001728815,0.00007333219,0.0005900812,0.0001679215],"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":[0.0002909344,0.0001033321,0.2820079,0.0009059954,0.0001379874,0.000362566,0.00136114,0.001959551,0.0009548843,0.001368033,0.667007,0.04354073],"study_design_scores_gemma":[0.00004251318,0.00002608559,0.805593,0.0002827115,0.00004138864,0.0001918369,0.002958245,0.0007524675,0.0002781341,0.0002200885,0.1895761,0.00003739519],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0331725,0.0003056876,0.0003311761,0.0001214964,0.00003864645,0.0001698191,0.9519354,0.0002056457,0.01371971],"genre_scores_gemma":[0.1129548,0.002394826,0.002683974,0.0003478314,0.00002187064,0.0009049467,0.7756478,0.0001612078,0.1048828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2387553,"threshold_uncertainty_score":0.4803227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003830052789355193,"score_gpt":0.1955229752649,"score_spread":0.1916929224755448,"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."}}