{"id":"W6926724816","doi":"10.25318/9810010301-fra","title":"Situation de faible revenu, selon l’âge et le genre : Canada, provinces et territoires, divisions de recensement et subdivisions de recensement","year":2022,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Advanced Mathematical Identities","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Census; Population; China","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":[0.0009187462,0.001752145,0.00110209,0.004191829,0.00139747,0.003143689,0.002372125,0.00164958,0.03165041],"category_scores_gemma":[0.008502237,0.000527056,0.001032902,0.01035573,0.0005933373,0.00152437,0.001576578,0.002524054,0.02836841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009710223,"about_ca_system_score_gemma":0.01398885,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7962773,"about_ca_topic_score_gemma":0.8785754,"domain_scores_codex":[0.9987526,0.0001141505,0.0001245357,0.0002850702,0.0003899945,0.0003335531],"domain_scores_gemma":[0.9959434,0.0006902128,0.0003333544,0.0005141985,0.002095761,0.0004230928],"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":[0.00003137369,0.00001208832,0.002470608,0.0002071236,0.00001500557,0.00001276698,0.00003920353,0.0001947164,0.0000281562,0.0007204138,0.9945258,0.001742744],"study_design_scores_gemma":[0.0001644447,0.000009794347,0.02992743,0.0003938306,0.00002748643,0.00005946622,0.0004396111,0.0005657292,0.00018686,0.001193804,0.9669819,0.00004947406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002493389,0.00005767737,0.0000278304,0.00009810493,0.00001954829,0.000005589933,0.9986184,0.00008092271,0.0008426665],"genre_scores_gemma":[0.001297896,0.00009519982,0.0001964311,0.00004906157,0.000008306592,0.00004066882,0.996786,0.00002818065,0.001498321],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2037227,"threshold_uncertainty_score":0.4098448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553782354360457,"score_gpt":0.3096812055377451,"score_spread":0.2941433819941406,"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."}}