{"id":"W6969355694","doi":"10.5281/zenodo.8135967","title":"Who is counted? How to use the Census of Canada timeline to search for ethno-racial and Indigenous identities","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Queen's University; Toronto Metropolitan University","funders":"","keywords":"Census; Timeline; Indigenous; American Community Survey; Presentation (obstetrics); Identity (music); Data collection","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.004599652,0.0007889587,0.001313738,0.01074795,0.009484987,0.006516403,0.002141936,0.001143465,0.04332297],"category_scores_gemma":[0.02415689,0.000712644,0.000934459,0.02057259,0.00239673,0.00472768,0.002048459,0.00247954,0.01987256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03238077,"about_ca_system_score_gemma":0.07481723,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9795166,"about_ca_topic_score_gemma":0.9895123,"domain_scores_codex":[0.995145,0.0006542378,0.0005010523,0.0004582539,0.002330715,0.0009106815],"domain_scores_gemma":[0.979243,0.001403995,0.000858165,0.0005315312,0.01593632,0.002027074],"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":[0.00001769778,0.00001387311,0.006441054,0.0002634406,0.00001461037,0.00009288089,0.002903193,0.00009339705,0.0001675769,0.003415353,0.9177466,0.06883039],"study_design_scores_gemma":[0.00001275764,0.000009276843,0.03641846,0.0008644462,0.00002085946,0.00007802746,0.02661922,0.0002786479,0.0003692527,0.002307446,0.9329097,0.0001118704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01935231,0.0157717,0.02545554,0.212324,0.01530373,0.003729203,0.2886425,0.004101322,0.4153197],"genre_scores_gemma":[0.2051894,0.07079034,0.1414327,0.04842348,0.003159692,0.007410621,0.1782751,0.006374242,0.3389444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04332297,"threshold_uncertainty_score":0.2349401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03806510615934666,"score_gpt":0.2850970270458349,"score_spread":0.2470319208864883,"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."}}