{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009134876,0.000331208,0.0008029243,0.0003652105,0.00004222961,0.00001630057,0.00029387,0.00027643,0.00009699604],"category_scores_gemma":[0.003358549,0.0003123465,0.0001173785,0.0005729746,0.00007584142,0.00003711955,0.0001304104,0.0004401954,0.00003350721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005079377,"about_ca_system_score_gemma":0.001991523,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9987333,"about_ca_topic_score_gemma":0.992339,"domain_scores_codex":[0.9974391,0.0001218293,0.0005652016,0.0005797609,0.0009212496,0.0003728193],"domain_scores_gemma":[0.9969855,0.0002943551,0.0004177729,0.001909223,0.0001513976,0.0002417506],"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":[0.0001011305,0.00007369969,0.003952952,0.0006430242,0.0001592187,0.0001774466,0.000005484088,0.000006057151,0.00001423543,0.000001202918,0.9945749,0.0002906684],"study_design_scores_gemma":[0.000312986,0.0000808998,0.3374282,0.0001464271,0.0001725139,0.00002015867,0.000005357116,0.000001599116,0.0000646434,0.000002754873,0.6616008,0.000163674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002854702,0.0001864661,0.000001299387,0.0006216692,0.000734513,0.0004728075,0.997486,0.00009438095,0.0001174044],"genre_scores_gemma":[0.0003368335,0.0004763716,0.000007713494,0.0004418458,0.0005459794,0.00001404022,0.9975004,0.00007676087,0.0006000218],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3334752,"threshold_uncertainty_score":0.9999329,"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."}}