{"id":"W6923849838","doi":"10.1371/journal.pone.0311895.s001","title":"Description of different datasets at Statistics Canada used in the study and the relevant study variables.","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Data collection; Descriptive statistics; Sampling (signal processing)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004660517,0.001525339,0.002006191,0.009551001,0.002308756,0.003895616,0.004980913,0.001411979,0.3305591],"category_scores_gemma":[0.05100578,0.001340698,0.001596396,0.02791148,0.001051111,0.001996819,0.002586236,0.002624336,0.1145785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01695836,"about_ca_system_score_gemma":0.07469272,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9161226,"about_ca_topic_score_gemma":0.9392725,"domain_scores_codex":[0.9946247,0.000705553,0.0007783149,0.0007748925,0.002049865,0.001066804],"domain_scores_gemma":[0.9465084,0.007583145,0.003145327,0.003762069,0.03576125,0.003239742],"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":[0.00001755227,0.000008800637,0.0007797068,0.000227686,0.00001161835,0.000008448653,0.00002765046,0.000167762,0.00001400071,0.0008393196,0.9952408,0.002656663],"study_design_scores_gemma":[0.0002175798,0.00001085783,0.01185883,0.0006821954,0.00004226295,0.00004762671,0.0003622835,0.0004701184,0.0001825548,0.001627047,0.9844159,0.00008263792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007529776,0.00005292673,0.0003004503,0.0002212015,0.00006233421,0.0001728721,0.9955624,0.000213977,0.003338487],"genre_scores_gemma":[0.00196525,0.0003335026,0.003288928,0.0007039207,0.0000476309,0.001714096,0.9778804,0.0007190303,0.01334716],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3305591,"threshold_uncertainty_score":0.9548762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1039561693645435,"score_gpt":0.3222151119643632,"score_spread":0.2182589425998197,"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."}}