{"id":"W6907747410","doi":"10.25318/3610028801-eng","title":"Interest, dividends and miscellaneous investment income of persons, annual, 1926 - 1990","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dividend; Table (database); Investment (military); Comprehensive income; Return on investment","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":[0.0006028834,0.001013129,0.001030312,0.004795144,0.0008590144,0.001966876,0.001645991,0.0009369472,0.0419269],"category_scores_gemma":[0.006237829,0.0006431855,0.0006155901,0.01644626,0.0003054226,0.0009407238,0.0008686168,0.00159966,0.04268724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006476752,"about_ca_system_score_gemma":0.01049505,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7250146,"about_ca_topic_score_gemma":0.7413079,"domain_scores_codex":[0.9988971,0.00005609661,0.0001381814,0.0001961393,0.0004605876,0.0002519685],"domain_scores_gemma":[0.9950933,0.0005098802,0.0007337136,0.0003818615,0.002885665,0.0003956081],"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":[0.00003889849,0.00001609013,0.003836475,0.0001684248,0.00001544757,0.00001082772,0.0000176336,0.0001920039,0.00002637574,0.0003758387,0.9938082,0.001493844],"study_design_scores_gemma":[0.000219745,0.00002087315,0.0745634,0.0003323754,0.00004226921,0.0000479099,0.0002444625,0.0004650565,0.0003343594,0.0004408482,0.9232482,0.00004052179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002207243,0.00002672571,0.00001054042,0.00003805103,0.00001020299,0.000004017374,0.999063,0.00002668397,0.0005999904],"genre_scores_gemma":[0.001102102,0.00008466861,0.00006791834,0.00003239298,0.00000861891,0.00003267446,0.9967463,0.00002001844,0.001905176],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2749854,"threshold_uncertainty_score":0.5532096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01234486167628504,"score_gpt":0.2692407083196985,"score_spread":0.2568958466434135,"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."}}