{"id":"W1631482289","doi":"10.22230/cjc.2010v35n4a2421","title":"Losing Our Census","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Census and Population Estimation","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Windsor","funders":"","keywords":"Census; Government (linguistics); Context (archaeology); Democracy; Contradiction; Political science; Public administration; Civil society; Geography; Sociology; Politics; Law; Population; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005177111,0.0008488501,0.000629311,0.002894738,0.01134434,0.008900966,0.002272008,0.002742694,0.03754695],"category_scores_gemma":[0.02908412,0.0004870445,0.0007577994,0.003379316,0.006053234,0.004599333,0.00307558,0.007727268,0.01175094],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05212328,"about_ca_system_score_gemma":0.08669276,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9556055,"about_ca_topic_score_gemma":0.9593869,"domain_scores_codex":[0.9909331,0.000971628,0.0003682328,0.0009392842,0.005252769,0.001535009],"domain_scores_gemma":[0.9890957,0.001241242,0.0003012143,0.0009085636,0.006882867,0.00157032],"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":[0.00002456706,0.000005992144,0.001026102,0.00005665238,0.000005822725,0.00005618283,0.0015913,0.00009151916,0.0001344784,0.1282212,0.8281783,0.04060791],"study_design_scores_gemma":[0.000001772718,0.000002936322,0.001079673,0.0000675052,0.000002872961,0.00002557438,0.0006411559,0.00005137014,0.00005011683,0.002407881,0.9956559,0.00001335586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.008836282,0.01317111,0.008986845,0.4660674,0.03995726,0.0002175275,0.01197571,0.0009228524,0.449865],"genre_scores_gemma":[0.1632468,0.01861794,0.01207239,0.1521702,0.007354675,0.0001969348,0.009454747,0.001301615,0.6355847],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9478767,"threshold_uncertainty_score":0.3781826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1886049344483185,"score_gpt":0.3406185942456714,"score_spread":0.1520136597973529,"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."}}