{"id":"W2955901528","doi":"","title":"Research Guides: Statistics & Data: Census of Population, Canada 2016","year":2010,"lang":"en","type":"libguides","venue":"","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Population statistics; Population; Geography; Statistics; Data science; Computer science; Demography; Mathematics; Sociology","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":[0.003251657,0.00194682,0.002073664,0.01106652,0.002782162,0.004712719,0.00354143,0.001138344,0.2141229],"category_scores_gemma":[0.026467,0.001819013,0.001201053,0.03153829,0.0008166264,0.002604307,0.001528394,0.003455326,0.09351671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03771439,"about_ca_system_score_gemma":0.1532595,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9842644,"about_ca_topic_score_gemma":0.9902,"domain_scores_codex":[0.9964861,0.0002470766,0.0003776159,0.0003071747,0.002156495,0.0004255458],"domain_scores_gemma":[0.9648566,0.002030516,0.0007171959,0.001145433,0.03010202,0.001148294],"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":[0.00001279232,0.00001595407,0.0006362197,0.0001516944,0.000004696749,0.000005873406,0.0000459186,0.0002457615,0.00001039346,0.0008637693,0.9838157,0.01419113],"study_design_scores_gemma":[0.00005925888,0.00001407632,0.01826282,0.000949609,0.00002611792,0.00003159702,0.0004076967,0.001092924,0.0002034849,0.001928713,0.9769637,0.000059945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004421783,0.000644561,0.001802771,0.001016621,0.0003741206,0.0004270302,0.9442966,0.001185719,0.04981034],"genre_scores_gemma":[0.004366214,0.004025653,0.01215648,0.0006266782,0.0001702698,0.00127003,0.7681208,0.002234212,0.2070297],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2141229,"threshold_uncertainty_score":0.7163124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4005180872356664,"score_gpt":0.4961658039576617,"score_spread":0.09564771672199529,"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."}}