{"id":"W6969232252","doi":"10.5683/sp3/kgu6qw","title":"Survey of Household Spending, 1999 [Canada] [Excel]","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"COVID-19 Impact on Reproduction","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Household income; Principal (computer security); Spouse; Survey data collection; Payment; Pension; Family income; Survey methodology","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":[0.0008585336,0.001283054,0.0007952675,0.004350934,0.001519186,0.00150987,0.00204351,0.0004541942,0.02482821],"category_scores_gemma":[0.003835217,0.0008276109,0.0006670064,0.02054031,0.0002172287,0.001006855,0.0008219978,0.001036885,0.009180338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01812341,"about_ca_system_score_gemma":0.02614242,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.968903,"about_ca_topic_score_gemma":0.9792667,"domain_scores_codex":[0.9988694,0.00007637239,0.000141882,0.0001330771,0.0006054702,0.0001737067],"domain_scores_gemma":[0.9946595,0.0001282418,0.0003192361,0.0001130648,0.004507202,0.000272769],"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":[0.0002280777,0.000136059,0.06434139,0.0009587173,0.0001028268,0.00007608586,0.0002219177,0.0007404445,0.0001321668,0.0009636838,0.9101251,0.02197363],"study_design_scores_gemma":[0.0001174777,0.00004485702,0.7669198,0.0003154413,0.00005240452,0.00004787914,0.0005230517,0.0006202533,0.0002146124,0.0001427202,0.2309673,0.00003413909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002851257,0.0002314712,0.00009772899,0.00013884,0.00003265956,0.0002081905,0.9873967,0.000068912,0.008974397],"genre_scores_gemma":[0.01538439,0.001339394,0.001137771,0.0002251299,0.00002248523,0.0006794983,0.952316,0.0000757573,0.02881954],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03109699,"threshold_uncertainty_score":0.1314952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08468827002183935,"score_gpt":0.3357545310143199,"score_spread":0.2510662609924805,"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."}}