{"id":"W2187338714","doi":"10.29173/iq747","title":"The Census of Canada from an Archival Perspective","year":2004,"lang":"en","type":"article","venue":"IASSIST Quarterly","topic":"Census and Population Estimation","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Perspective (graphical); Geography; American Community Survey; Genealogy; Regional science; Library science; History; Sociology; Demography; Computer science; Population; Artificial intelligence","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":[0.00217782,0.0008423128,0.0009980767,0.01665209,0.009369959,0.009225648,0.001999364,0.0008460251,0.008213989],"category_scores_gemma":[0.01180525,0.0007440187,0.0007552059,0.04494009,0.002109491,0.002914447,0.00202057,0.003273875,0.001198477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1255025,"about_ca_system_score_gemma":0.3545173,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9991266,"about_ca_topic_score_gemma":0.9992149,"domain_scores_codex":[0.9940737,0.0004958524,0.0002662395,0.0003488989,0.003829996,0.0009853127],"domain_scores_gemma":[0.9867176,0.0004506405,0.0003696879,0.0004289364,0.01111178,0.0009213981],"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":[0.0000514162,0.00005103214,0.02166849,0.0005849488,0.0001089535,0.0002146488,0.004251732,0.00240596,0.0002313793,0.2546355,0.5830122,0.1327836],"study_design_scores_gemma":[0.00000779916,0.000007840458,0.05622607,0.0005676965,0.00006492079,0.00009183142,0.005154249,0.001101856,0.0001697309,0.01222516,0.9243057,0.00007711351],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05613191,0.06450655,0.02855748,0.1042899,0.004963287,0.00123363,0.2906885,0.001240359,0.4483884],"genre_scores_gemma":[0.4222501,0.1107079,0.04646948,0.01156786,0.001470574,0.00094429,0.1088754,0.0007029457,0.2970114],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1255025,"threshold_uncertainty_score":0.9105887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02684160122524598,"score_gpt":0.307192121264747,"score_spread":0.280350520039501,"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."}}