{"id":"W6950066615","doi":"10.5683/sp3/sdgajo","title":"Survey of Labour and Income Dynamics 2004 [Canada]: Census Family File","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Census; Human capital; Dimension (graph theory); Panel Study of Income Dynamics; Survey data collection; Household income; Selection (genetic algorithm)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00179547,0.001806599,0.00179472,0.009508648,0.002613433,0.003130714,0.003409829,0.0008627882,0.04541228],"category_scores_gemma":[0.009665779,0.001120055,0.001021442,0.03445331,0.0004463732,0.001265873,0.001336237,0.002181207,0.0272318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03110639,"about_ca_system_score_gemma":0.05973707,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9810018,"about_ca_topic_score_gemma":0.9827744,"domain_scores_codex":[0.9978922,0.000142766,0.0002186444,0.0002972909,0.0009061667,0.000542891],"domain_scores_gemma":[0.987684,0.000535841,0.0005900708,0.0007084436,0.00965106,0.0008306667],"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":[0.00002612584,0.00001160958,0.002370062,0.0001669298,0.00001737947,0.00001315081,0.00003959832,0.0001241411,0.00001348873,0.0003536766,0.9947854,0.002078411],"study_design_scores_gemma":[0.0001403399,0.00001374697,0.09655412,0.0004740407,0.00004175956,0.00006509574,0.0004851978,0.0006926363,0.0002121992,0.0005312501,0.9007156,0.00007390544],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001293237,0.00002792472,0.00002707536,0.00003814227,0.000008413647,0.00001631366,0.9990278,0.00004189943,0.0006830052],"genre_scores_gemma":[0.0008750914,0.0001091822,0.0002535509,0.00003925405,0.000006287935,0.0001022826,0.9967356,0.00003435558,0.001844412],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04541228,"threshold_uncertainty_score":0.2256936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02134352187097335,"score_gpt":0.2597666337550111,"score_spread":0.2384231118840377,"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."}}