{"id":"W6964409686","doi":"10.25318/4310001101-fra","title":"Revenu des immigrants selon l'année d'admission et l'expérience avant l’admission, Canada et provinces","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Population; Context (archaeology); Developed country; Vulnerability (computing)","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":[0.0009305124,0.001134338,0.00125377,0.004377799,0.00170231,0.002235791,0.002496152,0.001307862,0.02387831],"category_scores_gemma":[0.008352421,0.0005622231,0.001115191,0.01071898,0.0004748248,0.0007932645,0.0016065,0.001846986,0.01299583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01091618,"about_ca_system_score_gemma":0.02504218,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9404902,"about_ca_topic_score_gemma":0.9676347,"domain_scores_codex":[0.9988738,0.0000757599,0.0001414852,0.0002092113,0.0003384409,0.0003613803],"domain_scores_gemma":[0.9942842,0.0006424489,0.0004803174,0.0003604234,0.003563245,0.000669427],"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":[0.00009204548,0.00001965196,0.007968632,0.0003569049,0.00004336065,0.00003079262,0.00008292159,0.0001953718,0.00003650157,0.0004346789,0.9884689,0.002270143],"study_design_scores_gemma":[0.0003609621,0.00001918648,0.1455058,0.001002851,0.00009982541,0.0001006916,0.000890945,0.0006618214,0.0003010347,0.0007493739,0.8502257,0.00008197159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004559996,0.00006809168,0.00001577055,0.00009174671,0.00001459547,0.000007472514,0.9987281,0.0000347238,0.0005834861],"genre_scores_gemma":[0.002211298,0.0001144517,0.0001432262,0.0000741557,0.000008869146,0.0000556115,0.9952531,0.00002625939,0.002113091],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05950981,"threshold_uncertainty_score":0.1197205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007342029242653507,"score_gpt":0.2499582251492613,"score_spread":0.2426161959066078,"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."}}