{"id":"W6926356536","doi":"10.25318/3610016901-eng","title":"Historical: Income and outlay account, non-residents, income (receipts from Canada), 1968 System of National Accounts (SNA), annual, 1926 - 1986","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Fern and Epiphyte Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"National Income and Product Accounts; National accounts; Measures of national income and output; Net national income; Total personal income; Adjusted gross income; Comprehensive income; Income in kind","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":[0.0009073077,0.001672652,0.001436942,0.007345333,0.001775675,0.002771739,0.002938906,0.001073115,0.03509418],"category_scores_gemma":[0.007507497,0.001074528,0.0009798501,0.02332076,0.0004901862,0.001119642,0.001202093,0.002231023,0.02447775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01844446,"about_ca_system_score_gemma":0.03952106,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9561449,"about_ca_topic_score_gemma":0.9627542,"domain_scores_codex":[0.9984109,0.0000621544,0.0001916003,0.0002839849,0.0006288748,0.0004223997],"domain_scores_gemma":[0.9921042,0.0004355868,0.0008646277,0.0005176372,0.00544511,0.00063284],"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":[0.00004700348,0.00001744537,0.003926693,0.0002755322,0.00002798234,0.00001291883,0.00002550108,0.0002891985,0.0000194574,0.0004027455,0.9935135,0.001442022],"study_design_scores_gemma":[0.000236582,0.00001388891,0.07905324,0.0004801006,0.00006560849,0.0000444254,0.0002482031,0.0006728038,0.0003396005,0.0004696648,0.9183178,0.00005809159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001190039,0.00002055485,0.0000122055,0.00001815053,0.000005587401,0.000006535755,0.9994377,0.00002727629,0.0003529882],"genre_scores_gemma":[0.0009307397,0.00007512149,0.0001333783,0.00002452396,0.000006355158,0.00006127515,0.9967704,0.00002118275,0.001977056],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04385513,"threshold_uncertainty_score":0.1338246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008875996399590438,"score_gpt":0.2293413970989354,"score_spread":0.220465400699345,"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."}}