{"id":"W6931637154","doi":"10.5683/sp3/gm65t8","title":"Survey of Household Spending, 1999 [Canada] [Excel]","year":2015,"lang":"en","type":"dataset","venue":"Borealis","topic":"Reliability and Agreement in Measurement","field":"Decision Sciences","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","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01578635,0.0003684992,0.0009406193,0.0002623358,0.00008729546,0.0001660459,0.002913767,0.0002729979,0.0007759029],"category_scores_gemma":[0.01049151,0.0002657003,0.0001540717,0.0006461196,0.0001613401,0.000112455,0.0003942686,0.0003591501,0.00004082583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002912396,"about_ca_system_score_gemma":0.001638949,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9904264,"about_ca_topic_score_gemma":0.9949319,"domain_scores_codex":[0.9895134,0.000913517,0.00154662,0.0007893373,0.006827796,0.0004093186],"domain_scores_gemma":[0.9936534,0.001295599,0.001067301,0.002743569,0.0009361659,0.000303924],"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":[0.00002729011,0.00009507932,0.004688051,0.00002730632,0.00003838645,0.00001478651,0.000008433053,0.00004755266,8.653229e-7,0.000005349672,0.9943314,0.0007155346],"study_design_scores_gemma":[0.0002013355,0.00006905137,0.06394251,0.00004809416,0.00003509752,0.000001283869,0.00003074944,0.000005702679,0.00001961586,0.0004338762,0.934943,0.0002696509],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002013783,0.0004276054,0.000007797135,0.0001373936,0.0008737482,0.0003180705,0.9965937,0.00001152587,0.001428848],"genre_scores_gemma":[0.0007401901,0.0001315861,0.00002709358,0.0001872252,0.0001557562,0.00001014665,0.9984185,0.00001467054,0.0003149055],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05938834,"threshold_uncertainty_score":0.9999795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.284473020106409,"score_gpt":0.3688724870377677,"score_spread":0.08439946693135869,"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."}}