{"id":"W6931032551","doi":"10.5281/zenodo.15334624","title":"Canada's 2021 Census of Population","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Healthcare Decision-Making and Restraints","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; American Community Survey; Metropolitan area; Population; Population statistics; Demographic analysis; Representation (politics)","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":[0.001736281,0.001675642,0.001977306,0.005454604,0.003787047,0.003858925,0.002619098,0.001049559,0.09950444],"category_scores_gemma":[0.008144599,0.0008078134,0.001192829,0.01811097,0.0005671292,0.002024212,0.001596342,0.002941617,0.07858875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04093492,"about_ca_system_score_gemma":0.1575379,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9875813,"about_ca_topic_score_gemma":0.9869915,"domain_scores_codex":[0.9968598,0.0001978016,0.0001879364,0.0003496396,0.001633064,0.0007718868],"domain_scores_gemma":[0.9908047,0.0002241288,0.0001680552,0.0001845919,0.008038178,0.0005803787],"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":[0.00001155586,0.000005594931,0.0007308919,0.0001358687,0.000006804386,0.000009490461,0.0000369901,0.00004680131,0.00001470924,0.001094997,0.9918929,0.006013338],"study_design_scores_gemma":[0.00002975866,0.000009740675,0.01237956,0.0003695349,0.00002028652,0.00002860989,0.0003687773,0.0002307015,0.00005625212,0.0005173559,0.985962,0.00002742129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004242453,0.001011359,0.0004022163,0.001688679,0.0004705337,0.0001853319,0.949228,0.0004715986,0.04611791],"genre_scores_gemma":[0.006219461,0.005673013,0.003774932,0.002004835,0.0002163804,0.0005849905,0.8934919,0.0005501827,0.08748423],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09950444,"threshold_uncertainty_score":0.3328755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04911225432480937,"score_gpt":0.3230014022436324,"score_spread":0.2738891479188231,"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."}}